Marine work ship hybrid power generation system, energy distribution method, terminal and marine work ship

Abstract

The invention provides a maritime work ship hybrid power generation system, an energy distribution method, a terminal and a maritime work ship. The system comprises a wave power generation module, a solar power generation module, a wind power generation module, a diesel generator set, an energy conversion and storage module and an intelligent energy management module. The energy conversion and storage module comprises an energy conversion unit and a lithium battery pack connected with the energy conversion unit; the wave power generation module, the solar power generation module, the wind power generation module and the diesel generator set are connected with the energy conversion unit. The energy conversion unit is connected with a ship load; and the intelligent energy management module performs energy distribution on the wave energy power generation module, the solar power generation module, the wind energy power generation module, the diesel generator set and the lithium battery pack by using a model prediction control algorithm and a hierarchical energy management strategy. The utilization efficiency of renewable energy sources of the maritime work ship is improved, stable and efficient green power supply is achieved, and fuel consumption and environmental pollution are reduced.

Description

Technical Field

[0001] This application relates to the field of ship power generation technology, and in particular to a hybrid power generation system for offshore vessels, an energy distribution method, a terminal, and an offshore vessel. Background Technology

[0002] With the rapid development of marine engineering, the energy consumption and environmental pollution problems of offshore engineering vessels have become increasingly prominent. Traditional offshore engineering vessels mainly rely on diesel generators for power generation, which not only faces the problems of high fuel costs and low energy efficiency, but also produces a large amount of pollutants such as carbon dioxide and sulfur oxides. According to statistics, a medium-sized offshore engineering vessel can consume thousands of tons of fuel per year, and its carbon emissions are equivalent to the annual emissions of tens of thousands of cars.

[0003] Therefore, the application of renewable energy on offshore vessels has become a research hotspot. However, single energy sources have significant limitations. For example, wave energy is greatly affected by sea conditions and has low power generation efficiency in low wave conditions; solar energy depends on sunlight conditions and cannot work at night or on cloudy or rainy days; wind energy is significantly affected by wind speed, and wind speed is unstable when offshore vessels are sailing. In existing technologies, although there have been attempts to combine two energy sources, there is a lack of system design and energy management strategies for multi-energy synergistic optimization, making it difficult to meet the continuous and stable power demands of offshore vessels.

[0004] In summary, how to efficiently integrate various renewable energy sources such as wave energy, solar energy, and wind energy to build a hybrid power generation system adapted to the operational characteristics of offshore vessels, and to achieve intelligent energy management and optimized allocation, has become an urgent technical challenge to be solved. Summary of the Invention

[0005] In view of the shortcomings of the prior art described above, the purpose of this application is to provide a hybrid power generation system for offshore vessels, an energy distribution method, a terminal, and an offshore vessel, in order to solve the problem that the prior art lacks a strategy for the coordinated power generation of multiple types of renewable energy.

[0006] To achieve the above and other related objectives, a first aspect of this application provides a hybrid power generation system for offshore vessels, comprising: a wave power generation module, a solar power generation module, a wind power generation module, a diesel generator set, an energy conversion and storage module, and an intelligent energy management module; wherein, the energy conversion and storage module comprises: an energy conversion unit and a lithium battery pack connected to the energy conversion unit; the wave power generation module, the solar power generation module, the wind power generation module, and the diesel generator set are respectively connected to the energy conversion unit; the energy conversion unit is used to connect to the ship's load; the lithium battery pack is used for energy storage; the intelligent energy management module is used to determine the current energy allocation scheme based on the current predicted power generation of the wave power generation module, the solar power generation module, and the wind power generation module, and according to the monitored current ship power load demand, using a model predictive control algorithm and a hierarchical energy management strategy, so that the wave power generation module, the solar power generation module, the wind power generation module, the diesel generator set, and the lithium battery pack can supply power to the current ship load according to the energy allocation scheme and through the energy conversion unit.

[0007] In some embodiments of the first aspect of this application, the energy conversion unit includes: a bidirectional DC / DC converter, an AC / DC converter, a DC / AC inverter module, and an isolation transformer; wherein the wave power generation module, the solar power generation module, and the lithium battery pack are respectively connected to a DC bus via the bidirectional DC / DC converter; the wind power generation module and the diesel generator set are connected to the DC bus via the AC / DC converter; the DC bus is sequentially connected to the DC / AC inverter module, the isolation transformer, and the AC busbar.

[0008] In some embodiments of the first aspect of this application, the intelligent energy management module includes: a sensor group for real-time acquisition of the power generation of the wave energy generation module, the solar energy generation module, and the wind energy generation module, and real-time monitoring of the ship's power load demand; a central controller for obtaining the current predicted power generation of the wave energy generation module, the solar energy generation module, and the wind energy generation module based on the acquired current power generation of the wave energy generation module, the solar energy generation module, and the wind energy generation module; and determining the current energy allocation scheme based on the current predicted power generation of the wave energy generation module, the solar energy generation module, and the wind energy generation module, according to the monitored current ship power load demand, using a model predictive control algorithm and a hierarchical energy management strategy.

[0009] In some embodiments of the first aspect of this application, the specific method for obtaining the current predicted power generation of the wave energy generation module, solar energy generation module, and wind energy generation module based on the collected current power generation of the wave energy generation module, solar energy generation module, and wind energy generation module includes: processing the collected current power generation of the wave energy generation module, solar energy generation module, and wind energy generation module using a wavelet analysis algorithm and then inputting it into a trained power prediction model to obtain the current predicted power generation of the wave energy generation module, solar energy generation module, and wind energy generation module; wherein, the method for training the power prediction model includes: acquiring historical power generation data of the wave energy generation module, solar energy generation module, and wind energy generation module to construct a training dataset; and using the training dataset processed by the wavelet analysis algorithm to train a long short-term memory network to obtain a power prediction model.

[0010] In some embodiments of the first aspect of this application, based on the current predicted power generation of the wave power generation module, the solar power generation module, and the wind power generation module, and according to the monitored current ship power load demand, a current energy allocation scheme is determined using a model predictive control-based energy allocation model and a hierarchical energy management strategy. This includes: determining the current optimal power generation of the wave power generation module, the solar power generation module, and the wind power generation module using a model predictive control algorithm based on the current predicted power generation of the wave power generation module, the solar power generation module, and the wind power generation module; and determining the current energy allocation scheme based on the current optimal power generation of the wave power generation module, the solar power generation module, and the wind power generation module, and according to the obtained current ship load demand, using a hierarchical energy management strategy.

[0011] In some embodiments of the first aspect of this application, the tiered energy management strategy includes: determining a first energy allocation scheme as the current energy allocation scheme when the sum of the current optimal power generation of the wave power generation module, solar power generation module, and wind power generation module is not less than the current ship load demand; wherein, in the first energy allocation scheme, the wave power generation module, solar power generation module, and wind power generation module are used for power supply; determining a second energy allocation scheme as the current energy allocation scheme when the sum of the current optimal power generation of the wave power generation module, solar power generation module, and wind power generation module is less than the current ship load demand; wherein, in the second energy allocation scheme, the wave power generation module, solar power generation module, wind power generation module, and lithium battery pack are used for power supply; determining a third energy allocation scheme as the current energy allocation scheme when the sum of the current optimal power generation of the wave power generation module, the current optimal power generation of the solar power generation module, the current optimal power generation of the wind power generation module, and the current charging and discharging power of the lithium battery pack is less than the current ship load demand; wherein, in the third energy allocation scheme, the wave power generation module, solar power generation module, wind power generation module, and diesel generator set are used for power supply.

[0012] In some embodiments of the first aspect of this application, the wave power generation module, the solar power generation module and the wind power generation module adjust their operating modes in real time according to the operating status of the offshore vessel and the marine environment.

[0013] To achieve the above and other related objectives, a second aspect of this application provides an energy distribution method for a hybrid power generation system on an offshore vessel, applicable to such a system. The hybrid power generation system includes: a wave energy generation module, a solar energy generation module, a wind energy generation module, a diesel generator set, an energy conversion and storage module, and an intelligent energy management module. The wave energy generation module, solar energy generation module, wind energy generation module, and diesel generator set are respectively connected to the energy conversion and storage module. The energy conversion and storage module includes: an energy conversion unit and a lithium battery pack connected to the energy conversion unit. The energy conversion unit is used to connect to the vessel's load. The lithium battery pack is used for energy storage; the method includes: real-time acquisition of the power generation of the wave energy generation module, solar energy generation module and wind energy generation module, and real-time monitoring of the ship's power load demand; based on the obtained current predicted power generation of the wave energy generation module, solar energy generation module and wind energy generation module, and according to the monitored current ship power load demand, using model predictive control algorithm and hierarchical energy management strategy, determining the current energy allocation scheme, so that the wave energy generation module, solar energy generation module, wind energy generation module, diesel generator set and lithium battery pack can supply power to the current ship load according to the energy allocation scheme and through the energy conversion unit.

[0014] To achieve the above and other related objectives, a third aspect of this application provides an electronic terminal, including a memory, a processor, and a computer program stored in the memory; the processor executes the computer program to implement the energy distribution method of the marine vessel hybrid power generation system.

[0015] To achieve the above and other related objectives, a fourth aspect of this application provides an offshore vessel comprising: the offshore vessel hybrid power generation system as described above.

[0016] As described above, the hybrid power generation system, energy distribution method, terminal, and offshore vessel of this application have the following beneficial effects:

[0017] This application improves the utilization efficiency of renewable energy in offshore vessels, achieves stable and efficient green power supply, and reduces fuel consumption and environmental pollution. Attached Figure Description

[0018] Figure 1 The diagram shown is a schematic block diagram of a hybrid power generation system for offshore vessels according to an embodiment of this application.

[0019] Figure 2 The diagram shown is a connection schematic of a hybrid power generation system for an offshore vessel according to one embodiment of this application.

[0020] Figure 3The diagram shown is a flowchart illustrating the energy distribution method of a hybrid power generation system for offshore vessels in one embodiment of this application.

[0021] Figure 4 The diagram shown is a structural schematic of an electronic terminal according to an embodiment of this application. Detailed Implementation

[0022] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0023] In the embodiments of this application, the terms "first" and "second" are used to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that the terms "first" and "second" do not necessarily imply that they are different.

[0024] It should be noted that, in the embodiments of this application, the words "exemplary" or "for example" indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0025] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0026] Before providing a further detailed description of the present invention, the nouns and terms used in the embodiments of the present invention are explained, and the nouns and terms used in the embodiments of the present invention are subject to the following interpretations:

[0027] <1> Offshore engineering vessels: Offshore engineering vessels are a general term for marine engineering vessels, referring to a collection of special vessels that provide exploration, construction, maintenance, and transportation services for offshore (far from land) oil and gas, wind power, communication, mining and other projects.

[0028] <2> Float: A ship float (also known as a buoy, buoy or buoyancy device) is a device used in ships and marine engineering to provide buoyancy, stability or as a marker.

[0029] <3> State of Charge (SOC): The state of charge is the percentage of electrical energy currently stored in a battery relative to its rated capacity. In the battery industry, the state of charge is a core indicator for measuring the battery's remaining capacity. It is directly related to critical operations such as determining device range and formulating charging strategies, and is an indispensable parameter in battery management systems.

[0030] To facilitate understanding of the embodiments of this application, firstly, in conjunction with Figure 1 Detailed explanation. Figure 1 A schematic block diagram of a hybrid power generation system for an offshore vessel, according to an embodiment of the present invention, is shown. The hybrid power generation system for an offshore vessel in this embodiment includes:

[0031] Wave power generation module 1, solar power generation module 2, wind power generation module 3, diesel generator set 4, energy conversion and storage module 5, and intelligent energy management module 6;

[0032] The energy conversion and storage module 6 includes: an energy conversion unit 51 and a lithium battery pack 52 connected to the energy conversion unit 51; a wave power generation module 1, a solar power generation module 2, a wind power generation module 3 and a diesel generator set 4 are respectively connected to the energy conversion unit 51; the energy conversion unit 51 is used to connect to the ship's load; the lithium battery pack 52 is used for energy storage.

[0033] The intelligent energy management module 6 is used to determine the current energy allocation scheme based on the current predicted power generation of the wave power generation module 1, solar power generation module 2 and wind power generation module 3, and according to the monitored current ship power load demand, using a model-based predictive control energy allocation model and a hierarchical energy management strategy. This allows the wave power generation module 1, solar power generation module 2, wind power generation module 3, diesel generator set 4 and lithium battery pack 52 to supply power to the current ship load according to the energy allocation scheme and through the energy conversion unit 51.

[0034] It should be noted that the energy modules of this invention adopt a standardized and modular design, which facilitates installation, maintenance, and upgrades. The system capacity can be flexibly configured according to different ship types and power requirements, making it widely applicable.

[0035] In one embodiment, the wave energy module adopts a modular float structure, including multiple floats. These floats are suspended from the outer side of the ship's hull by telescopic booms. Each float houses a permanent magnet linear generator, which drives the generator to generate electricity when the float is swaying. It should be noted that the number of floats can be determined according to the ship type and power requirements; this invention does not limit this. The number of floats is generally configured as 2 to 4, with a single generator power of 5 to 15 kW.

[0036] In one specific embodiment, the float can be a composite material float with a diameter between 2 and 4 meters.

[0037] In one embodiment, the solar power generation module includes flexible solar panels arranged on the deck and top of the superstructure of the ship. It should be noted that the total area of ​​the solar panels can be determined according to the available space on the ship, generally configured as 50–100 square meters, with a peak power of 5–10 kW.

[0038] In one specific embodiment, the solar panel may employ lightweight and efficient cadmium telluride or copper indium gallium selenide thin-film batteries with a conversion efficiency of ≥18%.

[0039] In one embodiment, the wind power generation module includes a wind turbine generator mounted on a ship's mast or a dedicated support.

[0040] In one specific embodiment, the wind turbine is a foldable horizontal axis wind turbine with a rated power of 5 to 10 kW. It employs variable pitch control and permanent magnet synchronous power generation technology, with a starting wind speed ≤ 3 m / s, a rated wind speed of 10-12 m / s, and a shutdown wind speed of 25 m / s. The generator has an automatic folding function, allowing it to be folded up to reduce drag when the ship is sailing at high speed.

[0041] In one embodiment, the diesel generator set is used as a backup generator set, activated when other power generation equipment on board is insufficient or malfunctions.

[0042] In one embodiment, such as Figure 2 As shown, the energy conversion unit includes: a bidirectional DC / DC converter 511, an AC / DC converter 512, a DC / AC inverter module 513, and an isolation transformer 514.

[0043] Among them, wave power generation module 1, solar power generation module 2 and lithium battery pack 52 are connected to the DC bus through bidirectional DC / DC converter 511; wind power generation module 3 and diesel generator set 4 are connected to DC bus 515 through AC / DC converter 512; DC bus 515 is connected in sequence to DC / AC inverter module 513, isolation transformer 514 and AC busbar 516.

[0044] In one specific embodiment, such as Figure 2As shown, the wave power generation module 1, solar power generation module 2, wind power generation module 3, diesel generator set 4, lithium battery pack 52, DC bus 515, DC / AC inverter module 513, isolation transformer 514, and AC busbar 516 are all in pairs. Hereinafter, A represents the location located at... Figure 2 The electrical components on the left and those located on the right, indicated by B. Figure 2 The electrical components on the right.

[0045] Wave power generation module 1A, solar power generation module 2A, and lithium battery pack 52A are each connected to a bidirectional DC / DC converter 511. Wave power generation module 1A, solar power generation module 2A, and lithium battery pack 52A are each connected to the DC bus 515A via their respective bidirectional DC / DC converters 511. Wind power generation module 3A and diesel generator set 4A are each connected to an AC / DC converter 512. Wind power generation module 3A and diesel generator set 4A are each connected to the DC bus 515A via their respective AC / DC converters 512. The DC bus 515A is sequentially connected to a DC / AC inverter module 513A, an isolation transformer 514A, and an AC busbar 516A.

[0046] Wave power generation module 1B, solar power generation module 2B, and lithium battery pack 52B are each connected to a bidirectional DC / DC converter 511. Wave power generation module 1B, solar power generation module 2B, and lithium battery pack 52B are each connected to DC bus 515B via their respective bidirectional DC / DC converters 511. Wind power generation module 3B and diesel generator set 4B are each connected to a BC / DC converter 512. Wind power generation module 3B and diesel generator set 4B are each connected to DC bus 515B via their respective BC / DC converters 512. DC bus 515B is sequentially connected to DC / BC inverter module 513B, isolation transformer 514B, and AC busbar 516B. DC busbar 515A is connected to DC busbar 515B, and AC busbar 516A is connected to AC busbar 516B. The AC busbar is used to connect the ship's load.

[0047] In one embodiment, the intelligent energy management module includes: a sensor group for real-time acquisition of the power generation of the wave power generation module, the solar power generation module and the wind power generation module, real-time acquisition of the state of charge of the lithium battery pack and real-time monitoring of the ship's power load demand.

[0048] The central controller is used to obtain the current predicted power generation of the wave energy generation module, solar energy generation module, and wind energy generation module based on the current power generation of the wave energy generation module, solar energy generation module, and wind energy generation module; based on the current predicted power generation of the wave energy generation module, solar energy generation module, and wind energy generation module, and according to the monitored current ship power load demand, it uses a model-based predictive control energy allocation model and a hierarchical energy management strategy to determine the current energy allocation scheme.

[0049] In one embodiment, the intelligent energy management module further includes a communication unit responsible for communicating with the wave power generation module, the solar power generation module, the wind power generation module, the diesel generator set, and the lithium battery pack.

[0050] In one embodiment, the specific method for obtaining the current predicted power generation of the wave energy generation module, solar energy generation module, and wind energy generation module based on the collected current power generation of the wave energy generation module, solar energy generation module, and wind energy generation module includes: processing the collected current power generation of the wave energy generation module, solar energy generation module, and wind energy generation module using a wavelet analysis algorithm, and then inputting them into a trained power prediction model to obtain the current predicted power generation of the wave energy generation module, solar energy generation module, and wind energy generation module; wherein, the method for training the power prediction model includes: obtaining the historical power generation of the wave energy generation module, solar energy generation module, and wind energy generation module to construct a training dataset; and using the training dataset processed by the wavelet analysis algorithm to train a long short-term memory network to obtain a power prediction model.

[0051] Specifically, the current power generation of the wave energy generation module is processed by wavelet analysis algorithm and then input into the trained power prediction model to obtain the current predicted power generation of the wave energy generation module; the current power generation of the solar energy generation module is processed by wavelet analysis algorithm and then input into the trained power prediction model to obtain the current predicted power generation of the solar energy generation module; the current power generation of the wind energy generation module is processed by wavelet analysis algorithm and then input into the trained power prediction model to obtain the current predicted power generation of the wind energy generation module.

[0052] Furthermore, the specific process of training the power prediction model includes:

[0053] Historical power generation data from wave energy, solar energy, and wind energy modules were acquired and divided into sections according to a specific ratio and chronological order to obtain the model's input and output (the earlier data points are the model's input, and the later data points are the model's output). These input and output data constituted the training dataset. A Long Short-Term Memory (LSTM) network was then trained using this training dataset, processed by a wavelet analysis algorithm, to obtain the power prediction model. It should be understood that the time frame of the model's output can range from 1 to 12 hours. The power generation prediction accuracy using the power prediction model is no less than 85%. Wavelet analysis is an existing algorithm used to decompose signals or data into components of different frequencies and locations to extract features.

[0054] In one embodiment, based on the current predicted power generation of the wave power generation module, solar power generation module, and wind power generation module, and according to the monitored current ship power load demand, a current energy allocation scheme is determined using a model-based predictive control energy allocation model and a hierarchical energy management strategy, including:

[0055] Based on the current predicted power generation of the wave power generation module, solar power generation module, and wind power generation module, the current optimal power generation of the wave power generation module, solar power generation module, and wind power generation module is determined using a model predictive control algorithm.

[0056] Based on the current optimal power generation of the wave power generation module, solar power generation module, and wind power generation module, and according to the current ship load demand, the current energy allocation scheme is determined using a tiered energy management strategy.

[0057] Specifically, Model Predictive Control (MPC) is an algorithm that predicts the future behavior of a system using a model and optimizes the control input online to achieve optimal system control. MPC is an existing algorithm and will not be elaborated upon here. In this embodiment, an energy model of the wave-solar-wind power generation module is first constructed. Then, efficiency maximization and fuel consumption minimization are used as the objective functions of the MPC algorithm, and ship circuit loads are used as constraints. Based on the current power generation and predicted power generation of the wave, solar, and wind power modules, the current optimal power generation of each module is calculated.

[0058] Furthermore, the tiered energy management strategy includes:

[0059] If the sum of the current optimal power generation of the wave power generation module, solar power generation module, and wind power generation module is not less than the current ship load demand, the first energy allocation scheme is determined as the current energy allocation scheme. In the first energy allocation scheme, the wave power generation module, the solar power generation module, and the wind power generation module supply power to the current ship load based on their current optimal power generation, and the remaining energy of the wave power generation module, the solar power generation module, and the wind power generation module is stored in the lithium battery pack.

[0060] If the sum of the current optimal power generation of the wave power generation module, the solar power generation module, and the wind power generation module is less than the current ship load demand, the second energy allocation scheme is determined as the current energy allocation scheme. In the second energy allocation scheme, the wave power generation module, the solar power generation module, the wind power generation module, and the lithium battery pack supply power to the current ship load based on their current optimal power generation, respectively.

[0061] If the sum of the current optimal power output of the wave energy generation module, the solar energy generation module, the wind energy generation module, and the lithium battery pack is less than the current ship load demand, then the third energy allocation scheme is determined as the current energy allocation scheme. In this third energy allocation scheme, the wave energy generation module, the solar energy generation module, and the wind energy generation module supply power to the current ship load based on their respective current optimal power outputs, and a diesel generator set is used as a backup power source to supply power to the current ship load. The operating power of the diesel generator set can be optimized based on the ship's power load demand and the predicted renewable energy sources (wave, solar, and wind energy) to avoid frequent start-ups and shutdowns of the diesel generator set.

[0062] It should be noted that this invention achieves multi-energy coordinated power generation through model predictive control algorithms and hierarchical energy management strategies, improving the overall system efficiency by 25%–35% and increasing renewable energy utilization by over 40% compared to a single-energy system. Simultaneously, through multi-energy complementarity and energy storage system regulation, this invention can control power supply fluctuations within ±10%, meeting the power demands of precision equipment on offshore vessels. Even under adverse weather conditions, the system maintains stable power supply, with reliability more than 50% higher than a single-energy system. This invention reduces fuel consumption and maintenance costs, extends equipment lifespan, and offers significant economic and environmental benefits.

[0063] In one embodiment, the wave power generation module, the solar power generation module, and the wind power generation module adjust their operating modes in real time according to the operating status of the offshore vessel and the marine environment.

[0064] Specifically, the operational states of offshore vessels include, but are not limited to, anchoring, navigation, and operations. Marine environmental conditions include, but are not limited to, waves, sunlight, and wind speed. The wave energy generation module uses a hydraulic servo system to adjust the float's suspension height and angle in real time, taking into account the ship's roll, pitch, and heave motions to ensure optimal interaction between the float and the waves. The solar energy generation module employs a dual-axis tracking system to adjust the orientation of the solar panels in real time based on the sun's position, improving solar energy utilization. Simultaneously, when the ship rolls, an adaptive fuzzy control algorithm is activated to reduce the impact of solar panel attitude fluctuations on power generation efficiency. The wind energy generation module uses a feedforward control algorithm to optimize the wind turbine's pitch angle and speed based on the ship's speed and wind direction, reducing interference from ship motion on wind energy capture. In strong winds or when the ship is sailing at high speed, the wind turbine automatically folds to ensure equipment safety.

[0065] Figure 3 This is a schematic flowchart illustrating the energy distribution method of the hybrid power generation system for offshore vessels provided in an embodiment of this application. Figure 3 As shown, the energy distribution method of the hybrid power generation system for offshore engineering vessels is applied to the system, which includes: a wave energy generation module, a solar energy generation module, a wind energy generation module, a diesel generator set, an energy conversion and storage module, and an intelligent energy management module. The wave energy generation module, solar energy generation module, wind energy generation module, and diesel generator set are respectively connected to the energy conversion and storage module. The energy conversion and storage module includes: an energy conversion unit and a lithium battery pack connected to the energy conversion unit. The energy conversion unit is used to connect to the ship's load; the lithium battery pack is used for energy storage. The energy distribution method of the hybrid power generation system for offshore engineering vessels includes:

[0066] Step S31: Collect the power generation of the wave power generation module, solar power generation module and wind power generation module in real time, and monitor the ship's power load demand in real time.

[0067] Step S32: Based on the current predicted power generation of the wave power generation module, solar power generation module and wind power generation module, and according to the monitored current ship power load demand, the current energy allocation scheme is determined using model predictive control algorithm and hierarchical energy management strategy, so that the wave power generation module, solar power generation module, wind power generation module, diesel generator set and lithium battery pack can supply power to the current ship load according to the energy allocation scheme and through the energy conversion unit.

[0068] It should be understood that the specific implementation process of each step of the method has been described in detail in the above system embodiments, and will not be repeated here for the sake of brevity.

[0069] In one embodiment, the energy conversion unit includes: a bidirectional DC / DC converter, an AC / DC converter, a DC / AC inverter module, and an isolation transformer; wherein the wave power generation module, the solar power generation module, and the lithium battery pack are respectively connected to the DC bus through the bidirectional DC / DC converter; the wind power generation module and the diesel generator set are connected to the DC bus through the AC / DC converter; the DC bus is sequentially connected to the DC / AC inverter module, the isolation transformer, and the AC busbar.

[0070] In one embodiment, the intelligent energy management module includes: a sensor group for real-time acquisition of the power generation of the wave energy generation module, the solar energy generation module, and the wind energy generation module, and real-time monitoring of the ship's power load demand; a central controller for obtaining the current predicted power generation of the wave energy generation module, the solar energy generation module, and the wind energy generation module based on the acquired current power generation of the wave energy generation module, the solar energy generation module, and the wind energy generation module; and determining the current energy allocation scheme based on the current predicted power generation of the wave energy generation module, the solar energy generation module, and the wind energy generation module, according to the monitored current ship power load demand, using a model predictive control algorithm and a hierarchical energy management strategy.

[0071] In one embodiment, the specific method for obtaining the current predicted power generation of the wave energy generation module, solar energy generation module, and wind energy generation module based on the collected current power generation of the wave energy generation module, solar energy generation module, and wind energy generation module includes: processing the collected current power generation of the wave energy generation module, solar energy generation module, and wind energy generation module using a wavelet analysis algorithm, and then inputting them into a trained power prediction model to obtain the current predicted power generation of the wave energy generation module, solar energy generation module, and wind energy generation module; wherein, the method for training the power prediction model includes: acquiring historical power generation data of the wave energy generation module, solar energy generation module, and wind energy generation module to construct a training dataset; and using the training dataset processed by the wavelet analysis algorithm to train a long short-term memory network to obtain a power prediction model.

[0072] In one embodiment, based on the current predicted power generation of the wave power generation module, solar power generation module, and wind power generation module, and according to the monitored current ship power load demand, the current energy allocation scheme is determined using a model predictive control-based energy allocation model and a hierarchical energy management strategy. This includes: determining the current optimal power generation of the wave power generation module, solar power generation module, and wind power generation module using a model predictive control algorithm based on the current predicted power generation of the wave power generation module, solar power generation module, and wind power generation module; and determining the current energy allocation scheme based on the current optimal power generation of the wave power generation module, solar power generation module, and wind power generation module, and according to the acquired current ship load demand, using a hierarchical energy management strategy.

[0073] In one embodiment, the tiered energy management strategy includes: determining a first energy allocation scheme as the current energy allocation scheme when the sum of the current optimal power generation of the wave power generation module, solar power generation module, and wind power generation module is not less than the current ship load demand; wherein, in the first energy allocation scheme, the wave power generation module, solar power generation module, and wind power generation module are used for power supply; determining a second energy allocation scheme as the current energy allocation scheme when the sum of the current optimal power generation of the wave power generation module, solar power generation module, and wind power generation module is less than the current ship load demand; wherein, in the second energy allocation scheme, the wave power generation module, solar power generation module, wind power generation module, and lithium battery pack are used for power supply; determining a third energy allocation scheme as the current energy allocation scheme when the sum of the current optimal power generation of the wave power generation module, the current optimal power generation of the solar power generation module, the current optimal power generation of the wind power generation module, and the current charging and discharging power of the lithium battery pack is less than the current ship load demand; wherein, in the third energy allocation scheme, the wave power generation module, solar power generation module, wind power generation module, and diesel generator set are used for power supply.

[0074] In one embodiment, the wave power generation module, solar power generation module, and wind power generation module adjust their operating modes in real time according to the operating status of the offshore vessel and the marine environment.

[0075] Similar to the embodiments described above, the present invention also provides an offshore engineering vessel, which includes: the offshore engineering vessel hybrid power generation system as described above. It should be understood that the offshore engineering vessel hybrid power generation system has already been described in the above embodiments and will not be repeated here.

[0076] Figure 4 This is a schematic block diagram of the electronic terminal provided in an embodiment of this application. Figure 4As shown, the electronic terminal includes at least one processor 401, a memory 402, at least one network interface 403, and a user interface 405. The various components in the device are coupled together via a bus system 404. It is understood that the bus system 404 is used to implement communication between these components. In addition to a data bus, the bus system 404 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in… Figure 4 The general will label all buses as bus systems.

[0077] The user interface 405 may include a monitor, keyboard, mouse, trackball, clicker, button, touchpad, or touch screen.

[0078] It is understood that memory 402 can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM) or programmable read-only memory (PROM), used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (SRAM) and synchronous static random access memory (SSRAM). The memories described in the embodiments of this invention are intended to include, but are not limited to, these and any other suitable categories of memory.

[0079] In this embodiment of the invention, the memory 402 is used to store various types of data to support the operation of the electronic terminal 400. Examples of this data include any executable program for operation on the electronic terminal 400, such as the operating system 4021 and application programs 4022; the operating system 4021 contains various system programs, such as the framework layer, core library layer, driver layer, etc., for implementing various basic services and handling hardware-based tasks. The application program 4022 may contain various applications, such as media players, browsers, etc., for implementing various application services. The energy distribution method 44 of the hybrid power generation system for offshore vessels provided in this embodiment of the invention can be included in the application program 4022.

[0080] The methods disclosed in the above embodiments of the present invention can be applied to processor 401, or implemented by processor 401. Processor 401 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 401 or by instructions in the form of software. The processor 401 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 401 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. General-purpose processor 401 may be a microprocessor or any conventional processor, etc. The steps of the accessory optimization method provided in the embodiments of the present invention can be directly reflected as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium, which is located in a memory. The processor reads the information in the memory and combines it with its hardware to complete the steps of the aforementioned method.

[0081] In an exemplary embodiment, the electronic terminal 400 may be used by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), or complex programmable logic devices (CPLDs) to execute the aforementioned method.

[0082] According to the method provided in the embodiments of this application, this application also provides a computer program product, which includes: computer program code, which, when run on a computer, causes the computer to execute... Figure 3 Energy distribution method of the hybrid power generation system for offshore vessels in the illustrated embodiment.

[0083] According to the method provided in the embodiments of this application, this application also provides a computer-readable storage medium storing program code, which, when executed on a computer, causes the computer to perform... Figure 3 Energy distribution method of the hybrid power generation system for offshore vessels in the illustrated embodiment.

[0084] As used in this specification, the terms "component," "module," "system," etc., are used to refer to computer-related entities, hardware, firmware, combinations of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program, and / or a computer. As illustrated, applications running on computing devices and computing devices can both be components. One or more components may reside in a process and / or an execution thread, and components may be located on a single computer and / or distributed among two or more computers. Furthermore, these components can be executed from various computer-readable media on which various data structures are stored. Components can communicate, for example, via local and / or remote processes based on signals having one or more data packets (e.g., data from two components interacting with another component between a local system, a distributed system, and / or a network, such as the Internet interacting with other systems via signals).

[0085] Those skilled in the art will recognize that the various illustrative logical blocks and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0086] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0087] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0088] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0089] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0090] In the above embodiments, the functions of each functional unit can be implemented entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. A computer program product includes one or more computer instructions (programs). When the computer program instructions (programs) are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs, DVDs), or semiconductor media (e.g., solid-state disks, SSDs, etc.).

[0091] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0092] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0093] In summary, this application provides a hybrid power generation system, energy distribution method, terminal, and offshore vessel. The system includes: a wave energy generation module, a solar energy generation module, a wind energy generation module, a diesel generator set, an energy conversion and storage module, and an intelligent energy management module. The energy conversion and storage module includes: an energy conversion unit and a lithium battery pack connected to the energy conversion unit. The wave energy generation module, solar energy generation module, wind energy generation module, and diesel generator set are respectively connected to the energy conversion unit. The energy conversion unit is used to connect to the vessel's load. The intelligent energy management module uses model predictive control algorithms and hierarchical energy management strategies to distribute energy among the wave energy generation module, solar energy generation module, wind energy generation module, diesel generator set, and lithium battery pack. This application improves the utilization efficiency of renewable energy in offshore vessels, achieves stable and efficient green power supply, and reduces fuel consumption and environmental pollution. Therefore, this application effectively overcomes the various shortcomings of existing technologies and has high industrial application value.

[0094] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A hybrid power generation system for offshore vessels, characterized in that, include: Wave power generation modules, solar power generation modules, wind power generation modules, diesel generator sets, energy conversion and storage modules, and intelligent energy management modules; The energy conversion and storage module includes: an energy conversion unit and a lithium battery pack connected to the energy conversion unit; the wave power generation module, solar power generation module, wind power generation module, and diesel generator set are respectively connected to the energy conversion unit; the energy conversion unit is used to connect to the ship's load; the lithium battery pack is used for energy storage. The intelligent energy management module is used to determine the current energy allocation scheme based on the current predicted power generation of the wave power generation module, solar power generation module, and wind power generation module, and according to the monitored current ship power load demand, using model predictive control algorithms and hierarchical energy management strategies. This allows the wave power generation module, solar power generation module, wind power generation module, diesel generator set, and lithium battery pack to supply power to the current ship load according to the energy allocation scheme and through the energy conversion unit.

2. The hybrid power generation system for offshore vessels according to claim 1, characterized in that, The energy conversion unit includes: a bidirectional DC / DC converter, an AC / DC converter, a DC / AC inverter module, and an isolation transformer; The wave power generation module, the solar power generation module, and the lithium battery pack are connected to the DC bus via the bidirectional DC / DC converter; the wind power generation module and the diesel generator set are connected to the DC bus via the AC / DC converter; the DC bus is connected in sequence to the DC / AC inverter module, the isolation transformer, and the AC busbar.

3. The hybrid power generation system for offshore vessels according to claim 1, characterized in that, The intelligent energy management module includes: The sensor array is used to collect the power generation of the wave energy generation module, solar energy generation module and wind energy generation module in real time, and to monitor the ship's power load demand in real time. The central controller is used to obtain the current predicted power generation of the wave energy generation module, solar energy generation module, and wind energy generation module based on the current power generation of the wave energy generation module, solar energy generation module, and wind energy generation module; based on the current predicted power generation of the wave energy generation module, solar energy generation module, and wind energy generation module, and according to the monitored current ship power load demand, it uses model predictive control algorithms and hierarchical energy management strategies to determine the current energy allocation scheme.

4. The hybrid power generation system for offshore vessels according to claim 3, characterized in that, Based on the current power generation of the wave energy generation module, solar energy generation module, and wind energy generation module, the specific methods for obtaining the current predicted power generation of the wave energy generation module, solar energy generation module, and wind energy generation module include: The current power generation of the wave energy generation module, solar energy generation module and wind energy generation module is processed by wavelet analysis algorithm and then input into the trained power prediction model to obtain the current predicted power generation of the wave energy generation module, solar energy generation module and wind energy generation module. The training of the power prediction model includes: acquiring historical power generation data of wave energy modules, solar energy modules, and wind energy modules to construct a training dataset; and using the training dataset processed by wavelet analysis algorithm to train the long short-term memory network to obtain the power prediction model.

5. The hybrid power generation system for offshore vessels according to claim 4, characterized in that, Based on the current predicted power generation of the wave power generation module, solar power generation module, and wind power generation module, and according to the monitored current ship power load demand, the current energy allocation scheme is determined using a model-based predictive control energy allocation model and a hierarchical energy management strategy, including: Based on the current predicted power generation of the wave power generation module, solar power generation module, and wind power generation module, the current optimal power generation of the wave power generation module, solar power generation module, and wind power generation module is determined using a model predictive control algorithm. Based on the current optimal power generation of the wave power generation module, solar power generation module, and wind power generation module, and according to the current ship load demand, the current energy allocation scheme is determined using a tiered energy management strategy.

6. The hybrid power generation system for offshore vessels according to claim 5, characterized in that, The tiered energy management strategy includes: If the sum of the current optimal power generation of the wave energy generation module, solar energy generation module, and wind energy generation module is not less than the current ship load demand, the first energy allocation scheme is determined as the current energy allocation scheme; wherein, in the first energy allocation scheme, the wave energy generation module, solar energy generation module, and wind energy generation module are used for power supply; If the sum of the current optimal power generation of the wave energy generation module, solar energy generation module, and wind energy generation module is less than the current ship load demand, the second energy allocation scheme is determined as the current energy allocation scheme; in the second energy allocation scheme, wave energy generation module, solar energy generation module, wind energy generation module, and lithium battery pack are used for power supply. If the sum of the current optimal power generation of the wave energy generation module, the current optimal power generation of the solar energy generation module, the current optimal power generation of the wind energy generation module, and the current charging and discharging power of the lithium battery pack is less than the current ship load demand, the third energy allocation scheme is determined as the current energy allocation scheme; in the third energy allocation scheme, the wave energy generation module, the solar energy generation module, the wind energy generation module, and the diesel generator set are used for power supply.

7. The hybrid power generation system for offshore vessels according to claim 1, characterized in that, The wave power generation module, solar power generation module, and wind power generation module adjust their operating modes in real time according to the operating status of the offshore vessel and the marine environment.

8. An energy distribution method for a hybrid power generation system on an offshore vessel, characterized in that, An application is made to a hybrid power generation system for offshore vessels. The hybrid power generation system includes: a wave energy generation module, a solar energy generation module, a wind energy generation module, a diesel generator set, an energy conversion and storage module, and an intelligent energy management module. The wave energy generation module, solar energy generation module, wind energy generation module, and diesel generator set are respectively connected to the energy conversion and storage module. The energy conversion and storage module includes: an energy conversion unit and a lithium battery pack connected to the energy conversion unit. The energy conversion unit is used to connect to the vessel's load. The lithium battery pack is used for energy storage. The method includes: Real-time acquisition of power generation from wave energy generation modules, solar energy generation modules, and wind energy generation modules; and real-time monitoring of ship power load demand. Based on the current predicted power generation of the wave power generation module, solar power generation module, and wind power generation module, and according to the monitored current ship power load demand, the current energy allocation scheme is determined using model predictive control algorithms and hierarchical energy management strategies, so that the wave power generation module, solar power generation module, wind power generation module, diesel generator set, and lithium battery pack can supply power to the current ship load according to the energy allocation scheme and through the energy conversion unit.

9. An electronic terminal, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the method of claim 8.

10. An offshore vessel, characterized in that, The offshore vessel includes: the offshore vessel hybrid power generation system as described in any one of claims 1 to 7.

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