Floating type offshore energy island networking system and capacity calculation method

Abstract

The invention provides a floating type offshore energy island networking system and a capacity calculation method, and the system comprises a renewable energy power generation system, an energy storage system, an energy consumption system, an island micro-grid operation management system, and an island micro-grid hardware system. The renewable energy power generation system comprises a floating type offshore wind power unit, a floating type offshore photovoltaic unit, a floating type wave energy power generation unit and a tidal current energy power generation unit and is used for converting offshore renewable energy resources into electric energy. The energy storage system is electrically connected with the renewable energy power generation system and is used for electric energy storage and rapid power response; the energy consumption system is electrically connected with the energy storage system and the renewable energy power generation system and is used for consuming electric energy; and the island micro-grid operation management system is used for performing cooperative control on the renewable energy power generation system, the energy storage system and the energy consumption system. Energy supply is provided for the energy island through various renewable energy sources, and self-sufficiency of a small island power source and fresh water is achieved.

Description

Technical Field

[0001] This invention relates to the field of integrated energy technology, and in particular to a floating offshore energy island network system and a capacity calculation method. Background Technology

[0002] Deep-sea islands are far from the mainland. Due to the high cost of laying submarine cables, electricity cannot be transmitted from the mainland to the islands. They need to generate their own electricity and be self-sufficient. Fuel for thermal power, such as natural gas or coal, needs to be transported from the mainland to the islands. Fresh water for residents also needs to be transported from the mainland to the islands.

[0003] To achieve self-sufficiency in electricity and water for remote islands, key factors include using renewable energy power generation equipment, constructing a grid system composed of various energy storage devices to maintain microgrid stability and a continuous power supply, and using seawater desalination equipment to produce freshwater. Meanwhile, my country's islands, especially those in the south, are frequently affected by natural disasters such as typhoons. Ensuring the safety of renewable energy equipment and facilities, and addressing the basic production and living needs of these islands during typhoons, are also urgent issues that need to be resolved for offshore energy islands.

[0004] Therefore, there is an urgent need for an effective technical solution to address at least one of the aforementioned technical problems. Summary of the Invention

[0005] This invention provides a floating offshore energy island grid system and capacity calculation method, which realizes the supply of energy to the energy island through various renewable energy sources, and achieves self-sufficiency in power and fresh water for the island.

[0006] In a first aspect, the present invention provides a floating marine energy island grid system, which includes a renewable energy power generation system, an energy storage system, an energy consumption system, an island microgrid operation and management system, and an island microgrid hardware system. The renewable energy power generation system is used to convert offshore renewable energy resources into electricity; the renewable energy resources include at least one of wind resources, solar resources, wave energy resources and tidal energy resources; the renewable energy power generation system includes a floating offshore wind power unit, a floating offshore photovoltaic unit, a floating wave energy power generation unit and a tidal energy power generation unit. The energy storage system is electrically connected to the renewable energy power generation system and is used for storing electrical energy and providing rapid power response. The energy consumption system is electrically connected to the energy storage system and the renewable energy power generation system, and is used to consume the electrical energy; the energy consumption system includes at least one of the following: electricity consumption for island residents, seawater desalination system, and electricity consumption for marine ranch; The island microgrid operation and management system is used to coordinate the control of the renewable energy power generation system, the energy storage system and the energy consumption system, so as to realize the independent island operation of the floating marine energy island; The island microgrid hardware system is used to collect and distribute electrical energy from each power generation unit.

[0007] According to the present invention, a floating offshore energy island grid system is provided, wherein the floating offshore wind power unit includes a wind turbine, a floating platform, a wind power mooring system, and a wind power multi-body connection system. The wind power multi-body connection system is used to connect at least two of the floating platforms to form a physically interconnected wind power platform array. The wind turbine is a typhoon-resistant grid-connected wind turbine.

[0008] According to the present invention, a floating marine energy island network system is provided, wherein the floating marine photovoltaic unit includes a floating body component, a photovoltaic panel, a photovoltaic mooring system and a photovoltaic multi-body connection system, wherein the photovoltaic multi-body connection system is used to connect at least two of the floating body components to form a physically interconnected photovoltaic floating body array.

[0009] According to the present invention, a floating marine energy island network system is provided, wherein the floating wave energy power generation unit includes a wave energy power generation component, a wave energy mooring system and a wave energy multi-body connection system, wherein the wave energy multi-body connection system is used to connect at least two of the wave energy power generation components to form a physically interconnected wave energy power generation array.

[0010] According to a floating offshore energy island network system provided by the present invention, the seawater desalination system includes a raw water tank, a pretreatment unit, a reverse osmosis membrane module and a disinfection unit connected in sequence, wherein the reverse osmosis membrane module is configured to desalinate seawater using electrical energy provided by the renewable energy power generation system and / or the energy storage system.

[0011] Secondly, the present invention also provides a capacity calculation method, applied to the floating offshore energy island grid system, the method comprising: Acquire energy demand data for the target island and renewable energy resource data for the surrounding sea area of ​​the target island; the energy demand data includes at least the annual total electricity load of the target island and a time-series-based load curve, and the renewable energy resource data includes at least one of wind resource data, solar resource data, wave energy resource data and tidal energy resource data; Based on the time-series-based load curve, determine the basic load curve required to support the target island in an emergency. Based on the energy demand data, the base load curve, and the renewable energy resource data, a capacity optimization configuration model is established. Using the capacity optimization configuration model, the optimal installed capacity of each power generation unit in the renewable energy power generation system and the optimal configuration capacity of the energy storage system are obtained.

[0012] According to the capacity calculation method provided by the present invention, the time-series-based load curve is an 8760-hour time-series load curve; the acquisition of energy demand data for the target island includes: Through the energy consumption system, the electricity load of residents on the target island, the electricity load of the seawater desalination system, the electricity load of the marine ranch, and other potential electricity loads are statistically analyzed. The annual total electricity load of the target island is obtained by summing up the electricity load of the residential electricity consumption, the electricity load of the seawater desalination system, the electricity load of the marine ranch, and other potential electricity loads, and the corresponding 8760-hour time-series load curve is generated.

[0013] According to a capacity calculation method provided by the present invention, determining the basic load curve required to support the target island under emergency conditions based on a time-series load curve includes: Identify the critical loads that the target island must maintain during the passage of a typhoon; the critical loads include at least those required to maintain basic living conditions, communications, and some seawater desalination. The load data corresponding to the key load is extracted from the time-based load curve to form the basic load curve.

[0014] According to a capacity calculation method provided by the present invention, the step of establishing a capacity optimization configuration model based on the energy demand data, the base load curve, and the renewable energy resource data includes: The objective function is to minimize the sum of the total investment cost of the renewable energy power generation system, the total investment cost of the energy storage system, and the system operation and maintenance cost. Based on the objective function and preset constraints, the capacity optimization configuration model is established; The process of solving using the capacity optimization configuration model includes: An optimization solver is used to iteratively search for the optimal solution of the objective function under the premise of satisfying the preset constraints; the variable values ​​corresponding to the optimal solution are the optimal installed capacity of each power generation unit and the optimal configuration capacity of the energy storage system.

[0015] Thirdly, the present invention also provides a capacity calculation device, which includes the following modules: The acquisition module is used to acquire energy demand data of the target island and renewable energy resource data of the surrounding sea area of ​​the target island; the energy demand data includes at least the annual total electricity load of the target island and a time-series-based load curve, and the renewable energy resource data includes at least one of wind resource data, solar resource data, wave energy resource data and tidal energy resource data. The determination module is used to determine, based on the time-series-based load curve, the basic load curve that the target island needs to support in an emergency. The capacity calculation module is used to establish a capacity optimization configuration model based on the energy demand data, the base load curve, and the renewable energy resource data, and to use the capacity optimization configuration model to solve for the optimal installed capacity of each power generation unit in the renewable energy power generation system and the optimal configuration capacity of the energy storage system.

[0016] Fourthly, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the capacity calculation method as described above.

[0017] Fifthly, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the capacity calculation method as described above.

[0018] In a sixth aspect, the present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the capacity calculation method as described above.

[0019] The floating offshore energy island grid system provided by this invention includes a renewable energy power generation system, an energy storage system, an energy consumption system, an island microgrid operation and management system, and an island microgrid hardware system. The renewable energy power generation system converts offshore renewable energy resources into electricity; renewable energy resources include at least one of wind resources, solar resources, wave energy resources, and tidal energy resources; the renewable energy power generation system includes floating offshore wind power units, floating offshore photovoltaic units, floating wave energy power generation units, and tidal energy power generation units; the energy storage system is electrically connected to the renewable energy power generation system for storing electricity and providing rapid power response; the energy consumption system is electrically connected to the energy storage system and the renewable energy power generation system for consuming electricity; the energy consumption system includes at least one of electricity consumption for island residents, seawater desalination systems, and marine ranching; the island microgrid operation and management system is used for coordinated control of the renewable energy power generation system, energy storage system, and energy consumption system to achieve independent island operation of the floating offshore energy island; the island microgrid hardware system is used to collect and distribute the electricity from each power generation unit.

[0020] This invention utilizes a renewable energy power generation system to provide electricity for island residents, marine ranches, and other potential loads. The renewable energy system also provides self-protection during typhoons. An energy storage system ensures a continuous and stable power supply to the microgrid system and guarantees basic power needs during emergencies such as typhoons. A seawater desalination system within the energy consumption system provides freshwater supply, and the island's microgrid hardware system enables intelligent management and control of the floating marine energy island. This invention achieves self-sufficiency in power and freshwater for the island by providing energy to the island through various renewable energy sources. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is one of the structural schematic diagrams of the floating marine energy island network system provided by the present invention.

[0023] Figure 2 This is a schematic diagram of the structure of the floating offshore wind power unit provided by the present invention.

[0024] Figure 3 This is a schematic diagram of the structure of the floating marine photovoltaic unit provided by the present invention.

[0025] Figure 4 This is a schematic diagram of the structure of the floating wave energy generation unit provided by the present invention.

[0026] Figure 5 This is a schematic diagram of the tidal power generation unit provided by the present invention.

[0027] Figure 6 This is a schematic diagram of the seawater desalination system provided by the present invention.

[0028] Figure 7 This is the second structural schematic diagram of the floating marine energy island system provided by the present invention.

[0029] Figure 8 This is one of the flowcharts illustrating the capacity calculation method provided by the present invention.

[0030] Figure 9 This is the second flowchart of the capacity calculation method provided by the present invention.

[0031] Figure 10This is a schematic diagram of the power consumption curve of the energy island on a certain day, provided by the present invention.

[0032] Figure 11 This is a schematic diagram of the wind power output curve on a certain day provided by the present invention.

[0033] Figure 12 This is a schematic diagram of the photovoltaic output curve on a certain day provided by the present invention.

[0034] Figure 13 This is a schematic diagram of the wave energy output curve on a certain day provided by the present invention.

[0035] Figure 14 This is a schematic diagram of the tidal energy output curve provided by the present invention.

[0036] Figure 15 This is a schematic diagram of the energy storage charging and discharging situation on a certain day provided by the present invention.

[0037] Figure 16 This is a schematic diagram of the capacity calculation device provided by the present invention.

[0038] Figure 17 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0040] The following is combined Figures 1-17 This invention describes a floating offshore energy island network system and its capacity calculation method.

[0041] Figure 1 This is one of the structural schematic diagrams of the floating offshore energy island network system provided by the present invention, such as... Figure 1 As shown, the floating offshore energy island grid system 100 includes a renewable energy power generation system 110, an energy storage system 120, an energy consumption system 130, an island microgrid operation and management system 140, and an island microgrid hardware system 150. The renewable energy power generation system 110 is used to convert marine renewable energy resources into electrical energy; the renewable energy resources include at least one of wind resources, solar resources, wave energy resources and tidal energy resources; the renewable energy power generation system includes a floating offshore wind power unit, a floating offshore photovoltaic unit, a floating wave energy power generation unit and a tidal energy power generation unit. The energy storage system 120 is electrically connected to the renewable energy power generation system and is used for storing electrical energy and providing rapid power response. The energy consumption system 130 is electrically connected to the energy storage system and the renewable energy power generation system, and is used to consume the electrical energy; the energy consumption system includes at least one of the following: electricity consumption for island residents, seawater desalination system, and electricity consumption for marine ranch; The island microgrid operation and management system 140 is used to coordinate the control of the renewable energy power generation system, the energy storage system and the energy consumption system to realize the independent island operation of the floating marine energy island; The island microgrid hardware system 150 is used to collect and distribute electrical energy from each power generation unit.

[0042] Specifically, to solve the above-mentioned technical problems, the present invention provides a floating offshore energy island grid system. This system comprises a comprehensive energy system coupling a renewable energy power generation system and multiple energy storage systems, as well as various loads and a microgrid control system. Specifically, the floating offshore energy island grid system includes a renewable energy power generation system 110, an energy storage system 120, an energy consumption system 130, an island microgrid operation and management system 140, and an island microgrid hardware system 150.

[0043] Among them, the renewable energy power generation system 110 is used to convert marine renewable energy resources into electricity. The renewable energy resources include at least one of wind resources, solar resources, wave energy resources and tidal energy resources. The renewable energy power generation system includes a floating offshore wind power unit (using wind resources to generate electricity), a floating offshore photovoltaic unit (using solar resources to generate electricity), a floating wave energy power generation unit (using wave energy resources to generate electricity), and a tidal energy power generation unit (using tidal energy resources to generate electricity).

[0044] The energy storage system 120 is electrically connected to the renewable energy generation system 110 for storing electrical energy and providing rapid power response. In practical applications, the energy storage system 120 includes energy-type energy storage systems and power-type energy storage systems. Energy-type energy storage systems include, but are not limited to, medium- and long-term energy storage types such as lithium iron phosphate battery energy storage, compressed air energy storage, and hydrogen energy storage. Power-type energy storage systems include, but are not limited to, power-type energy storage types such as flywheel energy storage and supercapacitors.

[0045] The energy consumption system 130 is electrically connected to the energy storage system 120 and the renewable energy power generation system 110, and is used to consume electrical energy. The energy consumption system 130 includes at least one of the following: electricity consumption for island residents, electricity consumption for the seawater desalination system, and electricity consumption for the marine ranch. Detailed explanations of these three energy consumption system sub-modules are as follows: 1. Electricity consumption by island residents This refers to providing the electricity load needed for daily life and production for permanent residents, staff stationed on the island, and tourism facilities. Specific details include: Basic living expenses include: lighting, air conditioning, refrigerator, cooking (such as electric kitchen appliances), water heater, television, and communication equipment.

[0046] Public service load: Electricity required for desalination plants (which are loads themselves, but their output is fresh water), hospitals, schools, administrative offices, sewage treatment plants, and supporting equipment of desalination plants.

[0047] Potential business / tourism load: hotels, restaurants, commercial facilities, etc.

[0048] The electricity consumption of island residents is the most basic and must be prioritized, meaning ensuring the island's basic living electricity needs. Its load curve typically exhibits a distinct daily peak-valley characteristic (high during the day, low at night). In emergency situations such as typhoons, the system will only guarantee the "basic guaranteed loads" (such as critical lighting, communications, and medical refrigeration).

[0049] 2. Seawater desalination system This is a special module that integrates "load" and "production facilities". It consumes electricity but produces fresh water, another key resource for sustaining the island. The seawater desalination system uses electricity to produce fresh water, achieving hydropower self-sufficiency, and is one of the key loads of the energy island.

[0050] The working principle of a seawater desalination system is as follows: (1) Power input: The system obtains power from the microgrid to power the main energy-consuming equipment (such as high-pressure pumps, which are used to drive the reverse osmosis process).

[0051] (2) Processing: After the seawater is “pretreated” (clarified, sterilized and filtered), it is sent into the “reverse osmosis membrane module” by a high-pressure pump.

[0052] (3) Output: Under high pressure, seawater is separated into product water (fresh water) and concentrated water (high salinity wastewater). The fresh water is disinfected and then enters the clear water pool for use on the island.

[0053] The significance of this module: solving the fundamental survival problem: enabling islands to break free from their dependence on water transport from the mainland and achieve "water self-sufficiency".

[0054] An ideal "flexible load" means that seawater desalination can operate more frequently when electricity is plentiful (such as during periods of high wind power generation) and less frequently or even shut down when electricity is scarce, while its product water (freshwater) can be stored. This provides great flexibility for smoothing out fluctuations in renewable energy and absorbing excess electricity, making it a key approach to optimizing microgrid operation.

[0055] 3. Electricity consumption in marine ranching This refers to providing power for various electrified aquaculture equipment and auxiliary facilities in the deep-sea aquaculture industry (i.e., "marine ranches"). Specific electrical equipment includes, for example: (1) Environmental monitoring and control systems: underwater cameras, water quality sensors (dissolved oxygen, pH, temperature, etc.), automatic feeders, aerators / flow pumps. (2) Production operation equipment: lighting on aquaculture vessels or large net cages, feed processing equipment, fish catch refrigeration and preservation equipment, automated cleaning equipment, etc. (3) Safety protection equipment: net cage status monitoring, escape prevention electric grid, warning lights, etc.

[0056] This module converts renewable energy into high-value fishery products, creating sustainable economic benefits for the energy island. The energy system not only meets daily needs but also supports production activities.

[0057] Among them, the island microgrid operation and management system 140 is used to coordinate and control (coupled control) the renewable energy power generation system, energy storage system and energy consumption system to realize the independent island operation of the floating marine energy island.

[0058] For example, under stable weather conditions and with sufficient resources, the island microgrid operation and management system primarily aims to achieve economical operation and stable power supply. An example of the collaborative control process implemented by the island microgrid operation and management system is as follows: 1. Data Awareness: Real-time collection of data from the entire network, including: Power source side: Instantaneous output and forecast of wind power, photovoltaic power, wave energy, and tidal energy.

[0059] Energy storage side: State of charge (SOC) and rechargeable / dischargeable power of energy storage devices such as batteries and flywheels.

[0060] Load side: Real-time power and water demand of residents, desalination plants, and marine ranches.

[0061] 2. Optimization Decision: With the objective of "minimizing operating costs" or "maximizing clean energy utilization," and combining resource and load forecasts for the next few hours, the optimal scheduling plan is solved. For example: During peak solar power generation at midday, the system instructs energy storage to charge and starts the desalination plant at full capacity, converting excess electricity into storable freshwater. At night, when wind power output is high but load is low, it supplies power to aerators and circulating pumps in the marine ranch's aquaculture tanks for production operations. Power balance is maintained in real-time to ensure that grid frequency and voltage remain within rated ranges.

[0062] 3. Execution and Regulation: The above decisions are translated into specific instructions and issued to each power generation unit, energy storage converter, and load switch. At the same time, grid-connected wind turbines and grid-connected energy storage continue to operate, simulating the inertia of synchronous generators, to provide active voltage and frequency support for the microgrid. This is the technical cornerstone of islanded grid stability.

[0063] For example, when extreme weather such as typhoons is predicted or encountered, the system immediately switches to "safe supply mode". The process of coordinated control by the island microgrid operation and management system is exemplified below: 1. Prevention and protection: Obtain typhoon path and intensity forecasts from meteorological departments in advance. Instruct renewable energy power generation systems to enter self-protection mode (e.g., wind turbine feathering, photovoltaic panel angle adjustment or retraction, wave energy equipment locking). During this process, gradually reduce non-critical loads (e.g., suspend most marine ranching equipment, reduce seawater desalination capacity).

[0064] 2. Isolated network black start and supply guarantee operation: The island microgrid operation and management system 140 is also used to: control the renewable energy power generation system to enter a self-protection mode during typhoons, and supply power to the basic backup loads in the energy consumption system based on the energy storage system. Specifically, when an external disaster causes the system to shut down, the operation and management system will initiate a "black start" procedure.

[0065] The process is illustrated below: First, the grid-connected energy storage system is instructed to release electrical energy, establishing the voltage and frequency framework of the island's microgrid. Next, adjustable power sources, such as grid-connected wind turbines, are connected sequentially to gradually restore power. Finally, power is supplied strictly according to the "basic guaranteed load curve" (determined by prior capacity calculation methods), supplying only critical residential electricity (lighting, communication, medical care) and a minimum amount of seawater desalination load to ensure the lifeline remains uninterrupted. In short, the island microgrid operation and management system achieves coordinated control of renewable energy generation systems, energy storage systems, and energy consumption systems through a closed-loop "sensing-decision-execution" process.

[0066] The island microgrid hardware system 150 is used to collect and distribute electrical energy from various power generation units. The island microgrid hardware system includes collection lines, step-up substations, distribution substations, and other collection line-related components.

[0067] The system provided in this embodiment includes a renewable energy power generation system, an energy storage system, an energy consumption system, an island microgrid operation and management system, and an island microgrid hardware system. The renewable energy power generation system converts offshore renewable energy resources into electricity; renewable energy resources include at least one of wind resources, solar resources, wave energy resources, and tidal energy resources; the renewable energy power generation system includes floating offshore wind power units, floating offshore photovoltaic units, floating wave energy power generation units, and tidal energy power generation units; the energy storage system is electrically connected to the renewable energy power generation system for storing electricity and providing rapid power response; the energy consumption system is electrically connected to the energy storage system and the renewable energy power generation system for consuming electricity; the energy consumption system includes at least one of electricity consumption for island residents, seawater desalination systems, and marine ranching; the island microgrid operation and management system is used for coordinated control of the renewable energy power generation system, energy storage system, and energy consumption system to achieve independent island operation of the floating offshore energy island; the island microgrid hardware system is used to collect and distribute the electricity from each power generation unit.

[0068] This invention utilizes a renewable energy power generation system to provide electricity for island residents, marine ranches, and other potential loads. The renewable energy system also provides self-protection during typhoons. An energy storage system ensures a continuous and stable power supply to the microgrid system and guarantees basic power needs during emergencies such as typhoons. A seawater desalination system within the energy consumption system provides freshwater supply, and the island's microgrid hardware system enables intelligent management and control of the floating marine energy island. This invention achieves self-sufficiency in power and freshwater for the island by providing energy to the island through various renewable energy sources.

[0069] It should be noted that each implementation method of this application can be freely combined, rearranged, or executed individually, and does not need to rely on or depend on a fixed execution order.

[0070] According to the present invention, a floating offshore energy island grid system is provided, wherein the floating offshore wind power unit includes a wind turbine, a floating platform, a wind power mooring system, and a wind power multi-body connection system. The wind power multi-body connection system is used to connect at least two of the floating platforms to form a physically interconnected wind power platform array. The wind turbine is a typhoon-resistant grid-connected wind turbine.

[0071] Specifically, in some embodiments, the floating offshore wind power unit includes a wind turbine, a floating platform, a wind power mooring system, and a wind power multibody connection system.

[0072] For example, Figure 2 This is a structural schematic diagram of the floating offshore wind power unit provided by the present invention, as shown below. Figure 2As shown, the floating offshore wind power unit includes a wind turbine 11-1, a floating platform 11-2, a wind power mooring system 11-3, and a wind power multibody connection system 11-4. The wind power multibody connection system 11-4 is used to connect at least two of the floating platforms 11-2 to form a physically interconnected array of wind power platforms.

[0073] Among them, wind turbine 11-1 is a typhoon-resistant grid-type wind turbine, and floating platform 11-2 includes but is not limited to single-column type (Spar), tension leg platform (TLP), semi-submersible platform (SEME) and other types. Wind power multi-body connection system 11-4 can realize the physical connection of two floating platforms 11-2.

[0074] The floating offshore wind power unit provided in this embodiment includes a wind turbine, a floating platform, a wind power mooring system, and a wind power multi-body connection system. The floating offshore wind power unit, together with other power generation units, serves as a renewable energy supply for the offshore energy island. It can provide energy to the energy island from various renewable energy sources, eliminating the need to transport fossil fuels to the island, achieving self-sufficiency in power supply for the island, and reducing the island's power supply costs.

[0075] According to the present invention, a floating marine energy island network system is provided, wherein the floating marine photovoltaic unit includes a floating body component, a photovoltaic panel, a photovoltaic mooring system and a photovoltaic multi-body connection system, wherein the photovoltaic multi-body connection system is used to connect at least two of the floating body components to form a physically interconnected photovoltaic floating body array.

[0076] Specifically, in some embodiments, the floating marine photovoltaic unit includes a floating body assembly, photovoltaic panels, a photovoltaic mooring system, and a photovoltaic multi-body connection system.

[0077] See Figure 3 As shown, Figure 3 This is a schematic diagram of the structure of a floating marine photovoltaic unit provided by the present invention. The floating marine photovoltaic unit includes a floating assembly and related system 12-1, a photovoltaic panel 12-2, a photovoltaic mooring system 12-3, and a photovoltaic multi-body connection system 12-4. The photovoltaic multi-body connection system 12-4 is used to connect at least two sets of floating assembly components and related systems to form a physically interconnected photovoltaic floating body array.

[0078] The floating offshore wind power unit provided in this embodiment includes a floating offshore photovoltaic unit comprising a floating body assembly, photovoltaic panels, a photovoltaic mooring system, and a photovoltaic multi-body connection system. The floating offshore photovoltaic unit, together with other power generation units, serves as a renewable energy supply for the offshore energy island, enabling multiple renewable energy sources to provide energy to the energy island without the need to transport fossil fuels to the island, thus achieving self-sufficiency in power supply for the island and reducing the island's power supply costs.

[0079] According to the present invention, a floating marine energy island network system is provided, wherein the floating wave energy power generation unit includes a wave energy power generation component, a wave energy mooring system and a wave energy multi-body connection system, wherein the wave energy multi-body connection system is used to connect at least two of the wave energy power generation components to form a physically interconnected wave energy power generation array.

[0080] Specifically, in some embodiments, the floating wave energy power generation unit includes wave energy power generation components, a wave energy mooring system, and a wave energy multibody connection system.

[0081] See Figure 4 As shown, Figure 4 This is a schematic diagram of the structure of the floating wave energy generation unit provided by the present invention, as shown below. Figure 4 As shown, the floating wave energy power generation unit includes a wave energy power generation component 13-1, a wave energy mooring system 13-2, and a wave energy multi-body connection system 13-3. The wave energy multi-body connection system 13-3 is used to connect at least two sets of wave energy power generation components 13-1 to form a physically interconnected wave energy power generation array.

[0082] The floating wave energy generation unit provided in this embodiment, together with other power generation units, serves as a renewable energy supply for the offshore energy island. It enables various renewable energy sources to provide energy to the energy island without the need to transport fossil fuels to the island, thus achieving self-sufficiency in power supply for the island and reducing the island's power supply costs.

[0083] See Figure 5 As shown, Figure 5 This is a schematic diagram of the tidal power generation unit provided by the present invention, as shown below. Figure 5 As shown, the tidal energy power generation unit includes a tidal energy supporting system 14-1 and a water turbine 14-2.

[0084] According to a floating marine energy island network system provided by the present invention, the seawater desalination system includes a clarification tank, a pretreatment unit, a raw water tank, a filtration unit, a reverse osmosis membrane module, and a disinfection unit connected in sequence. The reverse osmosis membrane module is configured to use the electrical energy provided by the renewable energy power generation system and / or the energy storage system for seawater desalination.

[0085] Specifically, in some embodiments, the seawater desalination system includes a clarification tank, a pretreatment unit, a raw water tank, a filtration unit, a reverse osmosis membrane module, and a disinfection unit connected in sequence. The reverse osmosis membrane module is configured to use electrical energy provided by a renewable energy power generation system and / or the energy storage system for seawater desalination.

[0086] See Figure 6 As shown, Figure 6 This is a schematic diagram of the seawater desalination system provided by the present invention, as shown below. Figure 6As shown, the seawater desalination system includes a clarification tank, a raw water tank, a reverse osmosis membrane module, a pretreatment unit, and a disinfection unit connected in sequence. Seawater enters the clarification tank, where the pretreatment unit performs pretreatment and sterilization to remove suspended solids and large particulate impurities, and provides preliminary sterilization. The treated water is temporarily stored in the raw water tank, serving as a buffer and balancing agent to provide stable feed water for subsequent reverse osmosis treatment. Next, the water in the raw water tank undergoes filtration and dechlorination. The treated water then enters the reverse osmosis membrane module, where it passes through a semi-permeable membrane under high pressure, effectively removing salt, ions, and organic matter, thus achieving seawater desalination. The system then enters the disinfection stage to further inactivate microorganisms, ensuring the water quality meets the requirements for subsequent treatment, resulting in clean product water that can be used for industrial, domestic, or drinking water purposes. In another branch, no further disinfection is required, and the concentrated water is directly and safely discharged into the seawater.

[0087] The method provided in this embodiment of the invention utilizes electricity to produce fresh water, achieving self-sufficiency in water energy, and is one of the key loads of the energy island.

[0088] For example, Figure 7 This is the second structural schematic diagram of the floating marine energy island system provided by the present invention, as shown below. Figure 7 As shown, the floating offshore energy island system comprises 1 (renewable energy power generation system), 2 (energy storage system), 3 (energy consumption system), 4 (control system (island microgrid network construction and operation management system), and 5 (island microgrid hardware system). Among these, 1 (renewable energy power generation system) includes power generation units corresponding to photovoltaic, wind power, wave energy, and tidal energy, while 3 (energy consumption system) includes various loads, such as electricity for residents of the energy island, seawater desalination, marine ranching, and other loads.

[0089] Figure 8 This is one of the flowcharts illustrating the capacity calculation method provided by the present invention. This method is applied to floating offshore energy island grid systems, such as... Figure 8 As shown, the method includes the following: Step 801: Obtain energy demand data for the target island and renewable energy resource data for the surrounding sea area of ​​the target island; the energy demand data shall include at least the annual total electricity load of the target island and the load curve based on time series, and the renewable energy resource data shall include at least one of wind resource data, solar resource data, wave energy resource data and tidal energy resource data.

[0090] It should be noted that the capacity calculation method in this embodiment is mainly used to calculate the optimal installed capacity of each power generation unit in the renewable energy power generation system and the optimal configuration capacity of the energy storage system, and is applied to the above-mentioned floating offshore energy island network system.

[0091] Among them, the optimal installed capacity of each power generation unit is the optimal solution of the power supply side capacity variable, including P_wind (wind power installed capacity, unit: kilowatt kW), P_pv (photovoltaic installed capacity, unit: kW), P_wave (wave energy installed capacity, unit: kW), and P_tide (tidal energy installed capacity, unit: kW).

[0092] The optimal configuration capacity of an energy storage system is also the optimal solution for the capacity variables on the energy storage side, including, for example, power P_ess_power (total power of the energy storage system) and capacity E_ess_capacity (total capacity of the energy storage system).

[0093] First, acquire energy demand data for the target island and renewable energy resource data for the surrounding waters. Renewable energy resource data includes at least one of wind, solar, wave, and tidal energy resources. Energy demand data refers to the load requiring electrical energy consumption, including at least the target island's total annual electricity load and a time-series load curve. The target island's total annual electricity load includes the island's own electricity load, the marine ranch's electricity load, and various other types of electricity load.

[0094] A time-series-based load curve, such as the 8760 curve representing the island's electricity load, is a curve composed of 8760 data points, representing the hourly electricity load (power, typically in kW or MW) over a year of 8760 hours (365 days × 24 hours). The horizontal axis of the 8760 curve represents time, from hour 1 (January 1st, 0:00-1:00) to hour 8760 (December 31st, 23:00-24:00). The vertical axis represents the average power consumption within that hour. For the floating offshore energy island of this invention, this curve is the cornerstone of all design and optimization because it reveals the "time-series characteristics" of electricity consumption, not just the total amount. This directly relates to how to configure unstable renewable energy sources. The functions of the 8760 curve include the following: Matching power generation with consumption: Wind and solar power generation also fluctuates dramatically with weather and time. With the 8760-hour load curve, wind / solar power generation forecast curves, also measured on an 8760-hour scale, can be compared to it, allowing for precise analysis of when there is a power surplus and when there is a power shortage. This is crucial for determining how much energy storage is needed and how it should operate.

[0095] 2. Determine the system's critical capacity: Maximum load: The highest point of the curve, which determines the peak power that grid equipment and some power sources must meet.

[0096] Minimum load: The lowest point of the curve, which determines whether the system can operate stably under low demand.

[0097] Load shape: determines whether energy storage should be primarily used for "peak shaving" or "valley filling".

[0098] 3. Supporting Capacity Optimization Model: When establishing the mathematical model, "meeting the power balance every hour" needs to be taken as the core constraint. The 8760 load curve is a precise description of that "demand side" that must be met. The optimization algorithm will repeatedly calculate based on it to find the most economical and reliable power source and energy storage configuration scheme.

[0099] 4. Develop contingency plans for extreme situations: During disasters such as typhoons, the load values ​​for the corresponding periods can be modified based on this curve (reduced to a level that only guarantees critical loads), thereby generating an "8760 curve under emergency conditions". The system design must simultaneously meet both normal and emergency curve scenarios.

[0100] Step 802: Based on the time-series-based load curve, determine the basic load curve that the target island needs to be guaranteed in an emergency.

[0101] After obtaining the time-series-based load curve, the basic load curve under emergency conditions is further calculated based on the natural disasters that may occur on the island.

[0102] The basic load curve is the basic load curve that the target island needs to maintain in an emergency, for example, the load curve for 8760 hours in an emergency on the island.

[0103] Step 803: Based on energy demand data, base load curve and renewable energy resource data, establish a capacity optimization configuration model, and use the capacity optimization configuration model to solve for the optimal installed capacity of each power generation unit in the renewable energy power generation system and the optimal configuration capacity of the energy storage system.

[0104] In practical applications, based on the above input data (energy demand data, baseload curve and renewable energy resource data), a capacity optimization configuration model can be established by combining the objective function and preset constraints. The objective function is usually to minimize the total cost of the system throughout its entire life cycle, which is the embodiment of economic optimization.

[0105] Furthermore, by using optimization algorithms, the capacity optimization configuration model is solved through a solver to obtain the optimal values ​​of the decision variables (the optimal installed capacity of each power generation unit in the renewable energy power generation system and the optimal configuration capacity of the energy storage system).

[0106] The method provided in this embodiment first acquires energy demand data for the target island and renewable energy resource data for the surrounding sea area. The energy demand data includes at least the annual total electricity load of the target island and a time-series-based load curve. The renewable energy resource data includes at least one of wind resource data, solar resource data, wave energy resource data, and tidal energy resource data. Then, based on the time-series-based load curve, the basic load curve required to guarantee the target island in emergency situations is determined. Furthermore, based on the energy demand data, the basic load curve, and the renewable energy resource data, a capacity optimization configuration model is established, and the optimal installed capacity of each power generation unit in the renewable energy power generation system and the optimal configuration capacity of the energy storage system are obtained using the capacity optimization configuration model.

[0107] This invention aims to systematically solve the core design challenges faced by deep-sea independent energy systems in the early planning stage. The method transforms complex engineering experience, multi-dimensional constraints, and uncertainties into a quantifiable and solvable mathematical optimization problem. The model can automatically analyze and utilize the complementary characteristics of different renewable energy sources (wind, solar, wave, and current) on the time scale, as well as the technical characteristics of different types of energy storage, to collaboratively calculate the capacity combination that optimizes the overall system performance. This solves the high-dimensional, multi-variable collaborative optimization problem that is difficult to handle manually.

[0108] According to a capacity calculation method provided by the present invention, the load curve based on the time series is an 8760-hour time series load curve; obtaining energy demand data of the target island includes: Through the energy consumption system, the electricity load of residents on the target island, the electricity load of the seawater desalination system, the electricity load of the marine ranch, and other potential electricity loads are statistically analyzed. By summarizing the electricity loads of residential areas, seawater desalination systems, marine ranches, and other potential electricity loads, the total annual electricity load of the target island is obtained, and a corresponding 8760-hour time-series load curve is generated.

[0109] Specifically, in some embodiments, step 801 is implemented through the following steps: First, through the energy consumption system, the electricity load for residential use on the target island, the electricity load for the seawater desalination system, the electricity load for the marine ranch, and other potential electricity loads are statistically analyzed. The specific implementation methods for each stage are as follows: I. Regarding residential electricity load 1. When data is available: Direct acquisition: If the island already has a power grid, retrieve historical electricity consumption data (preferably hourly or 15-minute data for more than one year) from the power grid company or the island's main electricity meter and smart meter (AMI) system through the energy consumption system.

[0110] Data decomposition: Through data analysis (combined with electricity consumption pattern recognition algorithms), typical curves of residential electricity consumption are separated from the overall curve.

[0111] 2. No data available (newly built / undeveloped island): Survey and Checklist Method: Population and Households: Determine the planned population, number of permanent resident households, and peak tourist population. Appliance List: Survey or define the appliance configuration (air conditioner, refrigerator, lighting, water heater, etc.) of typical households, along with their rated power, usage time, and simultaneous operation rate. Load Estimation: Estimate load using the formula: Load = Number of Households × Average Simultaneous Operation Rate per Household × Average Electricity Consumption per Per Capita / Household. Electricity consumption indicators can be referenced from data of mainland villages and towns or developed islands with similar climates and economic conditions.

[0112] Analogy method: Find developed islands with similar population size, industrial structure, and climate conditions, and scale or correct them proportionally based on their electricity consumption data.

[0113] II. Regarding the electrical load of seawater desalination systems This part is relatively fixed because it represents the load of engineering equipment.

[0114] 1. Determine based on designed capacity: Define the total daily / annual freshwater demand of the island (tons / day). Based on the selected seawater desalination technology (e.g., reverse osmosis RO), determine its "power consumption per ton of water" (kWh / ton), a key technical parameter (e.g., a high-efficiency RO system consumes approximately 3-4 kWh / ton of freshwater). Calculate the load: Daily power load = Daily capacity (tons) × Power consumption per ton of water (kWh / ton).

[0115] 2. Establish the runtime sequence model: A desalination plant is a high-quality, adjustable load. Its operating curve is not constant. The operation and management system instructs its start-up and shutdown based on electricity prices or grid conditions. When calculating capacity, a model of its maximum power and possible operating periods needs to be established (e.g., it can be set to prioritize operation during periods of excess renewable energy output) to reflect its regulatory value to the grid, rather than simply treating it as a stationary load.

[0116] III. Regarding the electricity load of marine ranches 1. Detailed Equipment List Method: Investigate the scale, aquaculture species, and equipment list of the planned marine ranch. List all electrical equipment, such as circulating pumps / aerators (major power-consuming equipment), automatic feeders, underwater lights, monitoring sensors, refrigeration equipment, etc. Calculate the rated power, quantity, average daily operating time, and working mode (continuous / intermittent) for each type of equipment.

[0117] 2. Itemized Summary and Curve Simulation: Calculate the total installed capacity and typical daily / seasonal electricity consumption curves. For example, during the high-temperature summer period, aerators may run 24 hours a day, while feeders only operate a few times a day.

[0118] IV. Regarding other potential electricity loads Consider future development plans for the island, such as: small cold storage facilities (for fish preservation), electric vehicle charging stations (if the island's transportation is planned to be electrified), communication base stations, scientific research and observation stations, and tourism and entertainment facilities (such as hotels and diving centers). Obtain the projected power and electricity consumption patterns from the planning documents and add them to the model as incremental loads.

[0119] Furthermore, by summarizing the electricity loads of residential use, seawater desalination systems, marine ranches, and other potential electricity loads, the total annual electricity load of the target island is obtained, and a corresponding 8760-hour time-series load curve is generated.

[0120] Specifically, all the above-mentioned component load data are overlaid on a uniform time scale (e.g., 8760 hours, i.e., one point per hour throughout the year). This includes the following steps 1-3: Step 1 - Establish a time series model: Create a "typical daily load curve" for each type of load and adjust it according to the season, weekday / holiday.

[0121] Step 2 - Overlay Synthesis: The curves of residents, seawater desalination (considering its adjustability), marine ranching, etc. are added together at time points to generate the final "target island annual 8760-hour load curve".

[0122] Step 3 - Extracting Key Indicators: From this curve, in addition to obtaining the total annual electricity consumption (kWh), it is also necessary to extract key parameters such as maximum load (kW), minimum load, and load factor for subsequent power supply and energy storage capacity configuration.

[0123] In summary, this statistical process is a combination of "survey + engineering calculation + data analysis + modeling and prediction". Starting with actual data (if available), and combining it with detailed engineering planning and equipment parameters, this invention ultimately constructs a dynamic load model that reflects the island's actual and future electricity consumption behavior, resulting in an 8760-hour time-series load curve.

[0124] The method provided in this embodiment extracts an 8760-hour time-series load curve by statistically analyzing various types of electrical loads, which is then used for subsequent capacity optimization calculations.

[0125] According to a capacity calculation method provided by the present invention, based on a time-series load curve, the basic load curve required to support a target island in an emergency is determined, including: Identify the critical loads that the target island must maintain during the passage of a typhoon; critical loads should include at least the loads required to maintain basic living conditions, communications, and some seawater desalination. Load data corresponding to critical loads are extracted from time-series load curves to form basic load curves.

[0126] Specifically, in some embodiments, step 802 is implemented through the following steps: First, identify the critical loads that the target island must maintain during the typhoon's passage. These critical loads should include at least those necessary to maintain basic living conditions, communications, and some seawater desalination.

[0127] Specifically, identifying critical loads during typhoons is a core step in capacity calculation and emergency control strategy development, directly impacting the system's survivability and resilience during disasters. This process is not a simple enumeration, but a systematic analysis and decision-making process involving multiple disciplines and stakeholders. Its specific implementation path and decision-making logic can be summarized as the following closed-loop process: The following are the specific implementation methods for each step: Step 1: Create a complete list of load items First, a detailed list of all known and planned power load projects on the island must be compiled to form an initial inventory. This forms the basis for subsequent analysis.

[0128] Residential area: Each household has lighting, a refrigerator, basic ventilation / fan, and a mobile phone charging socket.

[0129] Public facilities: hospitals / clinics (especially ICUs and refrigerated medicine equipment), emergency command centers, shelters, major communication base stations, critical road lighting, and fire pump stations.

[0130] Production facilities: seawater desalination plant (distinguishing between pretreatment pumps, high-pressure pumps, and control instrument power supplies), and core circulating pumps for wastewater treatment plant.

[0131] Supporting systems: the island microgrid's own operation and management system server, key monitoring sensors, and the control unit of the black-start power supply (which is crucial for system self-recovery).

[0132] Step 2: Apply multi-dimensional evaluation criteria for screening. For each load item on the list, apply a set of scientific evaluation criteria: 1. Life safety relevance: Directly related: Hospital emergency equipment, shelter heating / cooling, emergency lighting. (Must be retained) Indirectly related: Refrigerators in ordinary households (to prevent hygiene problems caused by food spoilage). (To be retained as appropriate) 2. Dependence on social order and information transmission: Emergency command center, key communication nodes (such as satellite ground stations and major cellular base stations), and security facilities. (These must be retained.) The island's public address system. (Usually retained) 3. Necessity for the continued operation of infrastructure: Partial seawater desalination: The core objective is to ensure a minimum level of drinking water production, rather than full capacity. It may only require maintaining the operation of pretreatment and small-scale reverse osmosis units. Its operating mode depends on the freshwater reserves: if the tanks are full, it can be completely shut down; if reserves are low, intermittent operation is necessary.

[0133] Basic drainage / flood control pumping stations: to prevent waterlogging. (Depending on geographical conditions) 4. Interruption tolerance and duration tolerance: Uninterrupted (>0 hours): Life support equipment, core control system.

[0134] Short-term interruption (0-2 hours): most lighting and normal communication.

[0135] Long-term interruptions (>2 hours): entertainment loads, non-essential production loads (such as all equipment in marine ranches), and most of the desalination capacity.

[0136] Step 3: Create a tiered list of critical loads and power requirements. Categorizing critical loads and calculating their total power requirements are quantitative metrics.

[0137] Level 1 Critical Load (Lifesaving): Low power but requires absolutely continuous power supply. Examples: Emergency command center communication equipment (5kW), core hospital equipment (10kW), microgrid control system (3kW). Total power P1.

[0138] Level 2 critical loads (ensuring basic operation): These can be interrupted briefly, but must be guaranteed in the long term. Examples include: zoned rotating LED public lighting (20kW), minimum capacity freshwater production equipment (50kW, intermittent operation), and critical water pumps (15kW). Total power P2.

[0139] Level 3 critical load (ensuring basic living needs): can be flexibly switched on and off according to the power supply situation. For example: basic lighting and refrigerators in residential households (estimated based on the number of households, such as 100kW, but not turned on simultaneously).

[0140] Furthermore, load data corresponding to key loads is extracted from the time-series load curve to form a basic load curve. This is a key step in transforming a "qualitative list" into "quantitative data," and its essence is to build a time-series model of minimum guaranteed power demand under extreme disaster conditions.

[0141] This step does not involve "filtering" data from the total load curve, because the total load curve is a mixture and superposition of all loads, and it is impossible to directly separate a portion of it. Therefore, implementing this step requires a "bottom-up" modeling approach. The specific process and underlying logic are shown in the following steps: Step 1: Input – Define the quantitative attributes of “critical loads” Based on the previously identified "Critical Load Classification List", it is now necessary to define the electrical and operational characteristics of each critical load: Rated power (kW): The power consumption of a single device.

[0142] Operating mode: Continuous operation type: such as communication base stations and control center servers (constant power 24 hours a day).

[0143] Sequential switch type: such as public lighting (only turned on during specific hours at night), water pumps (operating intermittently).

[0144] Scheduleable type: such as the core module of seawater desalination (which can be started and stopped by the control system within a specified time period).

[0145] Step 2: Define the phases of the typhoon emergency scenario Typhoon processes are dynamic, and the protection strategies and load deployments differ at different stages. They are generally divided into: T1 (early warning preparation period, such as 24 hours): Gradually reduce non-critical loads, while critical loads operate normally.

[0146] T2 (Core Transit Period, such as 12 hours): Only the most critical loads are guaranteed, while some loads are downgraded or operate intermittently.

[0147] T3 (Recovery and Reconstruction Period, e.g., several days): Gradually restore more critical loads, especially productive loads such as seawater desalination, which may require high-power operation to replenish reserves.

[0148] Step 3: Construct a dynamic model of the "base load curve" (core step) This is the process of generating curves from a list, not extraction, but synthesis.

[0149] 1. Create a "Typhoon Season Operation Schedule" for each critical load: For example: Level 1 load (communication equipment): T1, T2, and T3 are all 100% power continuous operation.

[0150] Secondary load (zoned public lighting): Normal operation during T1 phase; 50% power during T2 phase, and only during 19:00-23:00; normal operation resumes during T3 phase.

[0151] Dispatchable load (seawater desalination): T1 stage operates at full load and stores water; T2 stage shuts down; T3 stage operates at 150% rated power in time periods (water replenishment and water production).

[0152] 2. Calculation by time sequence superposition: The year is divided into 8,760 hours into "normal days" and "typhoon emergency days (including T1, T2, and T3)".

[0153] For a "normal day", the base load curve is equal to the total load curve (because all loads are operating normally).

[0154] For each hour of a "Typhoon Emergency Day", the following calculations shall be performed: The basic load value for that hour = Σ (power of all critical loads scheduled to run in that hour × operating percentage) Specific load sequences during typhoons can be generated hourly through programming or calculation.

[0155] Step 4: Integrate and generate a complete "base load curve" The calculated "typhoon emergency load sequence" is embedded into the original 8760-hour total load curve according to the expected time of typhoon occurrence (for example, based on historical data, the typhoon may occur between 2100 and 2120 hours), replacing the data for the corresponding time period.

[0156] This results in a new "baseline load curve" that covers the entire year. This curve coincides with the total load curve for most of the time, but during pre-set extreme weather periods, it will drop to a specific low load level consisting of critical loads, which may be accompanied by load peaks during the recovery period.

[0157] The method provided in this embodiment is based on a critical load list, its operational logic, and a "simulation and deduction" process for disaster scenario stages. It outputs a power demand scenario with clear physical meaning and temporal characteristics, which is used in capacity optimization calculations to ensure that the configured power generation and energy storage systems are capable of supporting this "lifeline" curve under extreme conditions, thereby transforming disaster prevention requirements from qualitative goals into quantitative design constraints.

[0158] According to a capacity calculation method provided by the present invention, a capacity optimization configuration model is established based on energy demand data, baseload curves, and renewable energy resource data, including: The objective function is to minimize the sum of the total investment cost of the renewable energy power generation system, the total investment cost of the energy storage system, and the system operation and maintenance cost. A capacity optimization configuration model is established based on the objective function and preset constraints; Solving using a capacity optimization configuration model includes: An optimization solver is used to iteratively search for the optimal solution of the objective function under the premise of satisfying the preset constraints; the variable values ​​corresponding to the optimal solution are the optimal installed capacity of each power generation unit and the optimal configuration capacity of the energy storage system.

[0159] Specifically, in some embodiments, step 803 is implemented through the following steps: First, establishing a capacity optimization configuration model includes the following steps: The objective function is to minimize the sum of the total investment cost of the renewable energy power generation system, the total investment cost of the energy storage system, and the system operation and maintenance cost.

[0160] The preset constraints of the capacity optimization configuration model include the power supply and demand balance of the floating offshore energy island grid system under normal operating conditions and extreme weather conditions. For example, the preset constraints include a first constraint, a second constraint, and a third constraint, as follows: The first constraint condition is that the floating offshore energy island grid system satisfies the load curve under normal operating conditions and the basic load curve under extreme weather conditions. The second constraint is that the total installed capacity of renewable energy power generation systems shall not exceed the exploitable resources of the surrounding waters of the target island. The third constraint is that the rated power and rated capacity of the energy storage system meet the system's peak shaving, frequency regulation, and black start requirements.

[0161] Furthermore, based on the objective function and preset constraints, a capacity optimization configuration model is established. This step essentially involves constructing a mixed-integer linear programming or nonlinear programming model. For example, establishing the capacity optimization configuration model specifically includes the following steps: 1. Define decision variables: The decision variables are the installed capacity of each power generation unit (wind power, photovoltaic, wave, tidal energy) and the configured capacity of the energy storage system.

[0162] 2. Construct the objective function: The objective function is to minimize the total cost.

[0163] 3. Set constraints: The set of constraints for the capacity optimization configuration model (i.e., preset constraints).

[0164] This completes the construction of the capacity optimization configuration model.

[0165] Furthermore, an optimization solver is employed to iteratively search for the optimal solution of the objective function while satisfying preset constraints.

[0166] Among these, optimization solvers include specialized mathematical optimization solvers (such as Gurobi, CPLEX) or optimization toolboxes using MATLAB.

[0167] The solution process is as follows: Upon receiving input data, the solver automatically adjusts the values ​​of the decision variables while satisfying all constraints, searching for the solution that minimizes the objective function (total cost), i.e., the optimal solution. The variable values ​​corresponding to the optimal solution represent the optimal installed capacity of each power generation unit and the optimal configuration capacity of the energy storage system. The input data for the capacity optimization configuration model includes: load curves, resource data, technical parameters, and economic parameters.

[0168] The method provided in this embodiment transforms complex engineering experience-based decisions into a quantifiable and solvable scientific calculation process through mathematical modeling and optimization algorithms, thereby automatically outputting a globally economically optimal system capacity configuration scheme that strictly satisfies multiple technical constraints.

[0169] First, it achieves optimal economic efficiency throughout the entire life cycle: with the goal of minimizing "total investment + operation and maintenance costs", it takes into account both the initial construction and long-term operation costs, avoiding the one-sidedness of only pursuing the lowest cost in one aspect, and ensuring that the final solution has the strongest economic competitiveness and investment feasibility while meeting functional requirements.

[0170] Second, ensuring precise quantification of technical reliability: By transforming key requirements such as "real-time power balance," "energy storage operation limitations," and "supply assurance during extreme disasters" into strict mathematical constraints, the optimization model must search for solutions within a space that satisfies all technical feasibility requirements. This guarantees that the output capacity configuration not only meets daily operation needs but also precisely matches the minimum guarantee requirements under emergency scenarios such as typhoons, improving the system's reliability and resilience from the design stage.

[0171] Third, it addresses the complex collaborative design challenges under multiple variables and scenarios: the model simultaneously handles the technical characteristics, time-series output, and cost differences of four power sources (wind, solar, wave, and current) and various energy storage methods, while coordinating normal and extreme operating scenarios. Through iterative search of the optimized solver, it can automatically find the optimal capacity ratio and collaborative relationship among these variables, solving high-dimensional, nonlinear optimization problems that are difficult to handle with traditional manual trial-and-error methods, making the design results more scientific and accurate.

[0172] Fourth, it significantly improves design efficiency and the scientific nature of decision-making: by standardizing and proceduralizing the design process, it can quickly generate the optimal solution based on input data, significantly shorten the planning cycle, and provide a consistent and replicable design method for projects on different islands and with different resource conditions. This reduces the uncertainty caused by differences in subjective experience and transforms the basis for decision-making from qualitative judgment to quantitative analysis.

[0173] Optionally, the method further includes setting different capacity ratio search ranges for floating offshore wind power units, floating offshore photovoltaic units, floating wave power generation units, and tidal power generation units in the capacity optimization configuration model.

[0174] Optionally, the method further includes: after obtaining the optimal installed capacity and the optimal configuration capacity, performing a system reliability verification, wherein the reliability verification includes calculating the annual load failure probability and / or the expected value of power shortage of the floating offshore energy island network system.

[0175] Optionally, the method further includes: based on the optimal installed capacity of each power generation unit obtained by solving, further optimizing the number of connections of the wind power multi-body connection system in the floating offshore wind power unit, the number of connections of the photovoltaic multi-body connection system in the floating offshore photovoltaic unit, and the number of connections of the wave energy multi-body connection system in the floating wave energy power generation unit.

[0176] Optionally, the method further includes: determining the specific type selection and power-capacity ratio between energy-type energy storage units and power-type energy storage units based on the optimal configuration capacity of the energy storage system obtained by solving.

[0177] Optionally, the method further includes: inputting the capacity configuration result into the island microgrid operation and management system to generate a corresponding collaborative control strategy, wherein the collaborative control strategy includes at least an economic dispatch strategy under normal conditions and a supply guarantee operation strategy under extreme weather conditions.

[0178] For example, Figure 9 This is the second flowchart illustrating the capacity calculation method provided by the present invention, as shown below. Figure 9 As shown, the method includes: First, based on the island's electricity load, the marine ranch's electricity load, and other electricity loads, the island's total electricity load and the calculated 8760 curve for the island's electricity load were determined. Then, based on the wind, solar, wave, and tidal energy resources surrounding the island, the optimal installed capacity of each power generation unit and the optimal configuration capacity of the energy storage system were calculated (including the calculated wind turbine ratio, photovoltaic ratio, tidal energy ratio, wave energy ratio, and energy storage ratio).

[0179] Secondly, based on the situation of natural disasters on the island, the 8760 curve under emergency conditions can be calculated. Then, based on the emergency conditions and the optimal installed capacity of each power generation unit and the optimal configuration capacity of the energy storage system calculated under normal conditions, the emergency energy storage ratio on the island can be calculated and optimized.

[0180] For example, the following example illustrates the calculation of the optimal installed capacity of each power generation unit and the optimal configuration capacity of the energy storage system: An island's annual electricity consumption is 10.68 million kWh. Taking a certain day as an example, the total electricity consumption that day is 38,038.35 kWh. The calculations for that day's electricity consumption, wind power output, solar power output, wave energy output, tidal energy output, and energy storage output are analyzed and extended to 8760 hours, including extreme typhoon conditions, to determine the capacity ratio of wind power, solar power, wave energy, and tidal energy.

[0181] Taking a certain day as an example, the specific data on the power consumption, capacity ratio of wind power, photovoltaic power, wave energy, and tidal energy on that day are shown in Table 1 below: Table 1: Correspondingly, Figure 10 This is a schematic diagram of the power consumption curve of the energy island on a certain day provided by the present invention. The horizontal axis represents time, and the vertical axis represents the power consumption of the energy island (kilowatt-hours, kWh).

[0182] Figure 11 This is a schematic diagram of wind power output on a certain day provided by the present invention. The horizontal axis represents time, and the vertical axis represents wind power output (kWh).

[0183] Figure 12 This is a schematic diagram of the photovoltaic power output curve on a certain day provided by the present invention. The horizontal axis represents time, and the vertical axis represents the photovoltaic power output (kWh).

[0184] Figure 13 This is a schematic diagram of the wave energy output curve for a certain day provided by the present invention. The horizontal axis represents time, and the vertical axis represents the wave energy output (kWh).

[0185] Figure 14 This is a schematic diagram of the tidal energy output curve on a certain day provided by the present invention. The horizontal axis represents time, and the vertical axis represents the tidal energy output (kWh).

[0186] Figure 15 This is a schematic diagram of the energy storage charging and discharging situation on a certain day provided by the present invention. The horizontal axis represents time, and the vertical axis represents energy storage charging and discharging (kWh).

[0187] The capacity calculation device provided by the present invention is described below. The capacity calculation device described below and the capacity calculation method described above can be referred to in correspondence.

[0188] Figure 16 This is a schematic diagram of the capacity calculation device provided by the present invention. The capacity calculation device 1600 includes the following modules: The acquisition module 1610 is used to acquire energy demand data of the target island and renewable energy resource data of the surrounding sea area of ​​the target island; the energy demand data includes at least the annual total electricity load of the target island and a time-series-based load curve, and the renewable energy resource data includes at least one of wind resource data, solar resource data, wave energy resource data and tidal energy resource data. The determination module 1620 is used to determine, based on the time-series-based load curve, the basic load curve that the target island needs to maintain in an emergency. The capacity calculation module 1630 is used to establish a capacity optimization configuration model based on the energy demand data, the base load curve and the renewable energy resource data, and to use the capacity optimization configuration model to solve for the optimal installed capacity of each power generation unit in the renewable energy power generation system and the optimal configuration capacity of the energy storage system.

[0189] This invention aims to systematically solve the core design challenges faced by deep-sea independent energy systems in the early planning stage. The method transforms complex engineering experience, multi-dimensional constraints, and uncertainties into a quantifiable and solvable mathematical optimization problem. The model can automatically analyze and utilize the complementary characteristics of different renewable energy sources (wind, solar, wave, and current) on the time scale, as well as the technical characteristics of different types of energy storage, to collaboratively calculate the capacity combination that optimizes the overall system performance. This solves the high-dimensional, multi-variable collaborative optimization problem that is difficult to handle manually.

[0190] Figure 17 This is a schematic diagram of the structure of the electronic device provided by the present invention, such as... Figure 17 As shown, the electronic device may include a processor 1710, a communications interface 1720, a memory 1730, and a communication bus 1740. The processor 1710, communications interface 1720, and memory 1730 communicate with each other via the communication bus 1740. The processor 1710 can call logical instructions from the memory 1730 to execute a capacity calculation method.

[0191] Furthermore, the logical instructions in the aforementioned memory 1730 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, 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 described in the various embodiments of the present invention. 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.

[0192] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the capacity calculation methods provided by the above methods.

[0193] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the capacity calculation methods provided by the methods described above.

[0194] The device embodiments described above are merely illustrative. 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 modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0195] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0196] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A floating offshore energy island network system, characterized in that, The floating offshore energy island grid system includes a renewable energy power generation system, an energy storage system, an energy consumption system, an island microgrid operation and management system, and an island microgrid hardware system. The renewable energy power generation system is used to convert offshore renewable energy resources into electricity; the renewable energy resources include at least one of wind resources, solar resources, wave energy resources and tidal energy resources; the renewable energy power generation system includes a floating offshore wind power unit, a floating offshore photovoltaic unit, a floating wave energy power generation unit and a tidal energy power generation unit. The energy storage system is electrically connected to the renewable energy power generation system and is used for storing electrical energy and providing rapid power response. The energy consumption system is electrically connected to the energy storage system and the renewable energy power generation system, and is used to consume the electrical energy; the energy consumption system includes at least one of the following: electricity consumption for island residents, seawater desalination system, and electricity consumption for marine ranch; The island microgrid operation and management system is used to coordinate the control of the renewable energy power generation system, the energy storage system and the energy consumption system, so as to realize the independent island operation of the floating marine energy island; The island microgrid hardware system is used to collect and distribute electrical energy from each power generation unit.

2. The floating offshore energy island network system according to claim 1, characterized in that, The floating offshore wind power unit includes a wind turbine, a floating platform, a wind power mooring system, and a wind power multi-body connection system. The wind power multi-body connection system is used to connect at least two of the floating platforms to form a physically interconnected wind power platform array. The wind turbine is a typhoon-resistant grid-type wind turbine.

3. The floating offshore energy island network system according to claim 1, characterized in that, The floating marine photovoltaic unit includes floating body components, photovoltaic panels, a photovoltaic mooring system, and a photovoltaic multi-body connection system. The photovoltaic multi-body connection system is used to connect at least two of the floating body components to form a physically interconnected photovoltaic floating body array.

4. The floating offshore energy island network system according to claim 1, characterized in that, The floating wave energy power generation unit includes wave energy power generation components, a wave energy mooring system, and a wave energy multi-body connection system. The wave energy multi-body connection system is used to connect at least two of the wave energy power generation components to form a physically interconnected wave energy power generation array.

5. The floating offshore energy island network system according to claim 1, characterized in that, The seawater desalination system includes a raw water tank, a pretreatment unit, a reverse osmosis membrane module, and a disinfection unit connected in sequence. The reverse osmosis membrane module is configured to use electrical energy provided by the renewable energy power generation system and / or the energy storage system for seawater desalination.

6. A capacity calculation method, characterized in that, The method, applied to a floating offshore energy island grid system as described in any one of claims 1 to 5, comprises: Acquire energy demand data for the target island and renewable energy resource data for the surrounding sea area of ​​the target island; the energy demand data includes at least the annual total electricity load of the target island and a time-series-based load curve, and the renewable energy resource data includes at least one of wind resource data, solar resource data, wave energy resource data and tidal energy resource data; Based on the time-series-based load curve, determine the basic load curve required to support the target island in an emergency. Based on the energy demand data, the base load curve, and the renewable energy resource data, a capacity optimization configuration model is established. Using the capacity optimization configuration model, the optimal installed capacity of each power generation unit in the renewable energy power generation system and the optimal configuration capacity of the energy storage system are obtained.

7. The capacity calculation method according to claim 6, characterized in that, The time-series-based load curve is an 8760-hour time-series load curve; the acquisition of energy demand data for the target island includes: Through the energy consumption system, the electricity load of residents on the target island, the electricity load of the seawater desalination system, the electricity load of the marine ranch, and other potential electricity loads are statistically analyzed. The annual total electricity load of the target island is obtained by summing up the electricity load of the residential electricity consumption, the electricity load of the seawater desalination system, the electricity load of the marine ranch, and other potential electricity loads, and the corresponding 8760-hour time-series load curve is generated.

8. The capacity calculation method according to claim 6, characterized in that, The time-series-based load curve determines the basic load curve required to support the target island in emergency situations, including: Identify the critical loads that the target island must maintain during the passage of a typhoon; the critical loads include at least those required to maintain basic living conditions, communications, and some seawater desalination. The load data corresponding to the key load is extracted from the time-based load curve to form the basic load curve.

9. The capacity calculation method according to claim 6, characterized in that, The process of establishing a capacity optimization allocation model based on the energy demand data, the base load curve, and the renewable energy resource data includes: The objective function is to minimize the sum of the total investment cost of the renewable energy power generation system, the total investment cost of the energy storage system, and the system operation and maintenance cost. Based on the objective function and preset constraints, the capacity optimization configuration model is established; The process of solving using the capacity optimization configuration model includes: An optimization solver is used to iteratively search for the optimal solution of the objective function under the premise of satisfying the preset constraints; the variable values ​​corresponding to the optimal solution are the optimal installed capacity of each power generation unit and the optimal configuration capacity of the energy storage system.

10. A capacity calculation device, characterized in that, The device, applied to a floating offshore energy island grid system as described in any one of claims 1 to 5, comprises: The acquisition module is used to acquire energy demand data of the target island and renewable energy resource data of the surrounding sea area of ​​the target island; the energy demand data includes at least the annual total electricity load of the target island and a time-series-based load curve, and the renewable energy resource data includes at least one of wind resource data, solar resource data, wave energy resource data and tidal energy resource data. The determination module is used to determine, based on the time-series-based load curve, the basic load curve that the target island needs to support in an emergency. The capacity calculation module is used to establish a capacity optimization configuration model based on the energy demand data, the base load curve, and the renewable energy resource data, and to use the capacity optimization configuration model to solve for the optimal installed capacity of each power generation unit in the renewable energy power generation system and the optimal configuration capacity of the energy storage system.

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