Space-time cooperative scheduling method and device for electric fishing boats in offshore fishing ground

Abstract

The invention provides an offshore fishery electric fishing boat space-time cooperative scheduling method and device, and the method comprises the steps: determining fishery energy demands according to the basic data of each fishery and the power initial state of fixed energy storage; determining a fishing boat resource state according to the fishing boat resource parameters of the electric fishing boat; determining a scheduling objective function according to the operation benefits of all the electric fishing boats and the source load unbalance degree of all the fishing grounds; determining constraint conditions of the electric fishing boat according to the fishing boat resource parameters of the electric fishing boat; according to the fishing boat resource parameters of the electric fishing boat, the constraint conditions of the electric fishing boat and the power parameters of the fixed energy storage, determining the power balance constraint of the fishing ground; and adopting a mixed integer programming solving method to obtain an optimal scheduling strategy based on the fishery energy demand, the fishing boat resource state, the scheduling objective function, the constraint condition of the electric fishing boat and the power balance constraint of the fishery. The optimal scheduling strategy is obtained by adopting a mixed integer programming solving method, and the operation benefit of the electric fishing boat and the source load balance of the fishing ground are both considered.

Description

Technical Field

[0001] This invention relates to the field of mobile energy storage optimization scheduling technology, and in particular to a spatiotemporal collaborative scheduling method and device for electric fishing vessels in nearshore fishing grounds. Background Technology

[0002] With the deepening of energy transition and carbon emission reduction policies, renewable energy has been widely applied and developed globally. However, the inherent intermittency and volatility of renewable energy pose significant challenges to the stable operation of power systems. As important marine economic industrial bases, near-shore fishing grounds, due to their remote geographical location and limited grid coverage, often operate off-grid, facing problems such as unstable power supply and low energy efficiency. With the accelerating electrification of near-shore fisheries, how to construct an efficient, reliable, economical, and environmentally friendly energy system for near-shore fishing grounds has become a critical issue that urgently needs to be addressed.

[0003] Energy storage technology, as an effective means to address the volatility of renewable energy, has experienced rapid development in recent years. Based on different installation methods and application scenarios, it can be divided into two types: stationary energy storage and mobile energy storage. Stationary energy storage features fast response speed and high energy density, enabling energy allocation over time and effectively mitigating fluctuations in renewable energy output. However, stationary energy storage also has significant limitations: its fixed spatial location makes it unable to address energy demand differences between different regions; and its large-scale deployment is constrained by investment costs. In contrast, mobile energy storage exhibits unique advantages in terms of spatial dimensions, enabling flexible energy allocation between regions. However, limited by travel distance and speed, its energy allocation suffers from time lag, making it difficult to respond instantly to sudden load changes.

[0004] As a typical off-grid power supply system, near-shore fishing grounds usually adopt a power supply mode of "stationary energy storage + photovoltaic power generation + backup power generation". However, the output power of renewable energy is significantly affected by marine weather conditions and has high uncertainty, making it difficult to completely eliminate the power supply gap; moreover, traditional backup power sources have multiple problems such as high fuel costs, large carbon emissions, noise pollution, and risks associated with marine transportation and storage. Summary of the Invention

[0005] This invention provides a spatiotemporal coordinated scheduling method and device for electric fishing vessels in nearshore fishing grounds, which solves the defects in power supply reliability caused by the limited fixed energy storage capacity in the off-grid operation state of nearshore fishing grounds in the prior art. It achieves a balance between the operating efficiency of electric fishing vessels and the energy balance of fishing grounds through the charging and discharging scheduling of electric fishing vessels.

[0006] This invention provides a spatiotemporal collaborative scheduling method for electric fishing vessels in nearshore fishing grounds, comprising the following steps: Based on the basic data of each fishing ground and the initial state of the fixed energy storage, the energy demand of the fishing ground is determined; based on the fishing vessel resource parameters of the electric fishing vessels, the fishing vessel resource status is determined. Based on the operating revenue of all electric fishing vessels and the source-load imbalance of all fishing grounds, the scheduling objective function is determined; based on the fishing vessel resource parameters of electric fishing vessels, the constraints of electric fishing vessels are determined; based on the fishing vessel resource parameters of electric fishing vessels, the constraints of electric fishing vessels, and the power parameters of fixed energy storage, the power balance constraints of the fishing grounds are determined. A mixed-integer programming approach is adopted to obtain the optimal scheduling strategy based on the energy demand of the fishing grounds, the resource status of fishing vessels, the scheduling objective function, the constraints of electric fishing vessels, and the power balance constraints of the fishing grounds.

[0007] According to the present invention, a spatiotemporal coordinated scheduling method for electric fishing vessels in near-shore fishing grounds determines the energy demand of the fishing grounds based on basic data of each fishing ground and the initial power state of fixed energy storage; including: Based on the predicted photovoltaic power generation curves and the initial power status of fixed energy storage for each fish farm, the power supply situation of the fish farm is determined. Based on the predicted load demand curves of each fishing ground, determine the load situation of each fishing ground; The energy demand of each fishing ground is determined based on its power supply and load conditions.

[0008] According to the present invention, a spatiotemporal collaborative scheduling method for electric fishing vessels in near-shore fishing grounds determines the resource status of fishing vessels based on their resource parameters; including: The resource status of the electric fishing vessel is determined based on its initial mooring location, battery capacity, speed capability, and charging / discharging characteristics.

[0009] According to the present invention, a spatiotemporal coordinated scheduling method for electric fishing vessels in near-shore fishing grounds determines a scheduling objective function based on the operating revenue of all electric fishing vessels and the source-load imbalance of all fishing grounds, including: Based on the connection status between each electric fishing vessel and different fishing ground nodes, the scheduling cycle of electric fishing vessels, the electricity purchase information when electric fishing vessels are charging in the fishing ground, and the electricity sales information when electric fishing vessels are discharging in the fishing ground, the charging and discharging revenue of all electric fishing vessels is determined. The difference between the charging and discharging revenue of all electric fishing vessels and the sea passage cost of electric fishing vessels is calculated to obtain the operating revenue of all electric fishing vessels. The scheduling objective function is determined based on the strategy of maximizing the operating revenue of all electric fishing vessels and minimizing the source-load imbalance of all fishing grounds.

[0010] According to the present invention, a spatiotemporal coordinated scheduling method for electric fishing vessels in near-shore fishing grounds includes the following vessel resource parameters: the working status of the electric fishing vessel, the initial charging pile location, the driving speed, the scheduling cycle duration, the first preset vessel battery level, and the second preset vessel battery level. Based on the vessel resource parameters, constraints on the electric fishing vessels are determined, including: The working state of the electric fishing boat is limited to either being connected to a fishing ground or sailing between two different fishing grounds. Based on the initial charging station location of the electric fishing vessel, the positional relationship between the electric fishing vessel and the initial charging station is defined at a specific time of scheduling; wherein, the specific time of scheduling includes: the start time of scheduling and the end time of scheduling. The number of working hours of the electric fishing boat from the first fishing ground to the second fishing ground is calculated based on the distance between the first and second fishing grounds, the speed of the electric fishing boat, and the scheduling cycle of the electric fishing boat. The time step required for the electric fishing boat to travel from the first fishing ground to the second fishing ground is limited to the number of working hours. Based on the electric fishing boat's travel status, connection status, and number of working hours, the initial variable for the electric fishing boat to travel from the first fishing ground to the second fishing ground is limited to a value less than or equal to the connection variable between the electric fishing boat and the second fishing ground after the number of working hours has elapsed. The power of the electric fishing boat is limited to between a first preset power level and a second preset power level.

[0011] According to the present invention, a spatiotemporal coordinated scheduling method for electric fishing vessels in near-shore fishing grounds determines the power balance constraints of the fishing grounds based on the vessel resource parameters, constraints of the electric fishing vessels, and power parameters of fixed energy storage, including: Based on the power parameters of the fixed energy storage, the amount of fixed energy storage is limited to between the first preset fixed energy storage amount and the second preset fixed energy storage amount. The first power value is obtained by adding the wind and solar power generation power, fixed energy storage discharge power, and electric fishing boat discharge power of the fishing ground at a preset time; the second power value is obtained by adding the load power, fixed energy storage charging power, and electric fishing boat charging power of the fishing ground at a preset time. The unbalanced power of the fishing ground is defined as the difference between the first power value and the second power value.

[0012] The present invention also provides a spatiotemporal coordinated scheduling device for electric fishing vessels in near-shore fishing grounds, comprising the following modules: The demand and resource status determination module is used to determine the energy demand of each fishing ground based on the basic data of each fishing ground and the initial power status of fixed energy storage; and to determine the resource status of fishing vessels based on the fishing vessel resource parameters of electric fishing vessels. The objective and constraint determination module is used to determine the scheduling objective function based on the operating revenue of all electric fishing vessels and the source-load imbalance of all fishing grounds; to determine the constraints of electric fishing vessels based on their fishing vessel resource parameters; and to determine the power balance constraints of the fishing grounds based on the fishing vessel resource parameters, constraints of electric fishing vessels, and power parameters of fixed energy storage. The optimal scheduling strategy generation module is used to obtain the optimal scheduling strategy based on the energy demand of the fishing ground, the resource status of fishing vessels, the scheduling objective function, the constraints of electric fishing vessels, and the power balance constraints of the fishing ground using a mixed integer programming solution method.

[0013] This invention also provides a spatiotemporal collaborative scheduling system for electric fishing vessels in near-shore fishing grounds, used to execute any of the above-mentioned spatiotemporal collaborative scheduling methods for electric fishing vessels in near-shore fishing grounds, comprising: The fishery energy forecasting subsystem is used to predict the photovoltaic power generation curve, load demand curve, and initial state of fixed energy storage for each fishery. The electric fishing vessel management subsystem is used to manage the basic information of electric fishing vessels; it provides fishing vessel resource parameters for navigation route planning based on the basic information of the fishing vessels; the basic information of the fishing vessels includes: initial mooring position, battery capacity, speed capability and charging and discharging characteristics; The central scheduling subsystem is used to integrate the energy demand of each fishing ground and the resource status of each fishing vessel; based on the energy demand of the fishing ground, the resource status of the fishing vessel, the scheduling objective function, the constraints of electric fishing vessels and the power balance constraints of the fishing ground, it executes a bi-objective optimization algorithm to generate the optimal scheduling strategy. The instruction scheduling subsystem is used to convert the optimal scheduling strategy into executable scheduling instructions and distribute them to fishing grounds and electric fishing boats.

[0014] 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 spatiotemporal coordinated scheduling method for electric fishing vessels in near-shore fishing grounds as described above.

[0015] The present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the spatiotemporal coordinated scheduling method for electric fishing vessels in near-shore fishing grounds as described above.

[0016] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the spatiotemporal collaborative scheduling method for electric fishing vessels in near-shore fishing grounds as described above.

[0017] The present invention provides a spatiotemporal coordinated scheduling method and apparatus for electric fishing vessels in near-shore fishing grounds. This method determines the energy demand of each fishing ground based on its basic data and the initial power state of fixed energy storage; determines the resource state of the electric fishing vessels based on their resource parameters; determines the scheduling objective function based on the operating revenue of all electric fishing vessels and the source-load imbalance of all fishing grounds; determines the constraints on the electric fishing vessels based on their resource parameters; and determines the power balance constraints of the fishing grounds based on their resource parameters, constraints, and power parameters of fixed energy storage. Finally, it employs a mixed-integer programming solution method to obtain the optimal scheduling strategy based on the fishing ground energy demand, vessel resource state, scheduling objective function, electric fishing vessel constraints, and fishing ground power balance constraints. In contrast to the limitations of existing technologies in terms of power supply reliability due to the limited fixed energy storage capacity in offshore fishing grounds under off-grid operation, this paper addresses the unique characteristics of the marine environment by setting constraints for electric fishing vessels and employing a mixed-integer programming solution method. Based on the energy demand of the fishing grounds, the resource status of fishing vessels, the scheduling objective function, the constraints of electric fishing vessels, and the power balance constraints of the fishing grounds, the optimal scheduling strategy is obtained, achieving a balance between the operational benefits of electric fishing vessels and the power-load balance of the fishing grounds. Attached Figure Description

[0018] 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.

[0019] Figure 1 This is a schematic flowchart of the spatiotemporal collaborative scheduling method for electric fishing vessels in near-shore fishing grounds provided by the present invention.

[0020] Figure 2 This is a framework diagram of the offshore fishing ground power dispatching system provided by the present invention.

[0021] Figure 3 This is a schematic diagram of the maritime transportation network provided by the present invention.

[0022] Figure 4 This is a schematic diagram comparing the imbalance rates of various fishing grounds before and after the electric fishing boats provided by this invention participate in the scheduling.

[0023] Figure 5a This is a schematic diagram of the source-load curves of fish farms 1-6 with the participation of electric fishing boats, provided by the present invention.

[0024] Figure 5b This is a schematic diagram of the source-load curve of fishery 7-12 with the participation of electric fishing boats provided by the present invention.

[0025] Figure 6 This is a schematic diagram of the source-load curve of the entire fishing ground area with the participation of electric fishing boats, provided by the present invention.

[0026] Figure 7 This is a schematic diagram of the charging and discharging path and state of charge changes of the electric fishing boat provided by the present invention.

[0027] Figure 8 This is a schematic diagram of the spatiotemporal coordinated scheduling device for electric fishing vessels in near-shore fishing grounds provided by the present invention.

[0028] Figure 9 This is a schematic diagram of the spatiotemporal coordinated charging and discharging optimization scheduling system for electric fishing vessels in near-shore fishing grounds provided by the present invention.

[0029] Figure 10 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0030] 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.

[0031] The following is combined with Figures 1-10 This invention is described.

[0032] Figure 1 This is a flowchart illustrating the spatiotemporal collaborative scheduling method for electric fishing vessels in near-shore fishing grounds provided by the present invention, as shown below. Figure 1 As shown, the method includes the following: Step 101: Determine the energy demand of each fishing ground based on the basic data and the initial state of the fixed energy storage; determine the resource status of the fishing vessels based on the resource parameters of the electric fishing vessels.

[0033] In step 101 above, the purpose of this invention is to solve the power supply reliability problem caused by the limited fixed energy storage capacity in the off-grid operation state of near-shore fishing grounds, and to reduce the proportion of traditional backup energy input. This invention solves the problem of how to coordinate and optimize economic benefits and energy balance when electric fishing vessels participate in power dispatch as mobile energy storage, and how to deal with the special constraints of the marine environment.

[0034] This invention constructs a framework for a "mobile + fixed" energy storage collaborative scheduling system for near-shore fishing grounds, clarifying the complementary mechanism of fixed energy storage and electric fishing vessels as mobile energy storage. In this framework, electric fishing vessels, acting as mobile energy storage, complement the fixed energy storage already installed in the fishing grounds: fixed energy storage enables temporal complementarity of source and load within a single fishing ground, mitigating short-term power fluctuations; electric fishing vessels, as mobile energy storage, enable spatial complementarity of source and load among multiple fishing grounds, balancing regional energy distribution. The synergistic effect is manifested in: fixed energy storage is responsible for real-time response to instantaneous power fluctuations and short-term energy regulation within a single fishing ground, ensuring stable power supply to the basic load of the fishing ground; electric fishing vessels are responsible for medium- and long-term energy allocation across fishing grounds, compensating for the limited capacity of fixed energy storage. This forms a multi-timescale complementary mechanism of "short-term response + long-term mutual support" and a multi-spatial-scale collaborative mode of "single-point stability + regional equilibrium," jointly improving system flexibility, enhancing power supply reliability, and significantly reducing reliance on traditional backup power sources.

[0035] The framework of the near-shore fishing ground power dispatching system proposed in this invention is as follows: Figure 2 As shown, this system aims to address the issues of unstable power supply and load fluctuations in off-grid environments, thereby enhancing the energy independence and power supply reliability of fishing grounds. To address the different power supply needs and resource conditions of various fishing grounds, the system achieves supply and demand balance and optimized resource utilization within near-shore fishing ground areas through the coordinated configuration of distributed energy sources, fixed energy storage, and electric fishing vessels.

[0036] Optionally, step 101, which involves determining the energy demand of each fish farm based on its basic data and the initial state of its fixed energy storage, includes steps A1 to A3: Step A1: Determine the power supply situation of each fish farm based on the predicted photovoltaic power generation curves and the initial power status of fixed energy storage.

[0037] Step A2: Determine the load situation of each fishery based on the predicted load demand curve of each fishery.

[0038] Step A3: Determine the energy demand of each fish farm based on its power supply and load conditions.

[0039] Optionally, step 101, determining the fishing vessel resource status based on the fishing vessel resource parameters of the electric fishing vessel, includes step B1: Step B1: Determine the resource status of the electric fishing boat based on its initial mooring location, battery capacity, speed capability, and charging / discharging characteristics.

[0040] Step 102: Determine the scheduling objective function based on the operating revenue of all electric fishing vessels and the source-load imbalance of all fishing grounds; determine the constraints of electric fishing vessels based on their fishing vessel resource parameters; and determine the power balance constraints of the fishing grounds based on their fishing vessel resource parameters, constraints, and power parameters of fixed energy storage.

[0041] In step 102 above, this invention is based on the dual-objective optimization concept, with the objective functions being maximizing the economic benefits of electric fishing boat operators and minimizing the source-load imbalance in fishing grounds. By setting conditions such as charging and discharging constraints, fishing ground power constraints, spatiotemporal constraints of electric fishing boats, and power constraints, the practical feasibility of the scheduling scheme is ensured.

[0042] Optionally, step 102 involves determining the scheduling objective function based on the operating revenue of all electric fishing vessels and the source-load imbalance of all fishing grounds, including steps C1 to C3: Step C1: Determine the charging and discharging revenue of all electric fishing boats based on the connection status between each electric fishing boat and different fishing ground nodes, the scheduling cycle of electric fishing boats, the electricity purchase information when electric fishing boats are charging in the fishing ground, and the electricity sales information when electric fishing boats are discharging in the fishing ground.

[0043] Step C2: Calculate the difference between the charging and discharging revenue of all electric fishing boats and the sea passage cost of electric fishing boats to obtain the operating revenue of all electric fishing boats.

[0044] Step C3: Determine the scheduling objective function based on the strategy of maximizing the operating revenue of all electric fishing boats and minimizing the source-load imbalance of all fishing grounds.

[0045] In steps C1 to C3 above, the economic objective function for the optimal scheduling of electric fishing vessels is set as follows: in, For the operating revenue of electric fishing boat operators in fishing ground areas; This refers to the revenue earned by fishing boat operators from charging and discharging equipment in fishing grounds. This indicates the cost of sea travel for electric fishing vessels.

[0046] Total revenue from charging and discharging of electric fishing boats in fishing grounds Represented as: in, Indicates fishing boat At the fishing ground node The connection status; Represents the set of fishing ground nodes; Indicates the duration of a scheduling cycle; This indicates the price of electricity sold when electric fishing boats discharge electricity in fishing grounds; This indicates the purchase price of electricity when electric fishing boats are charged at the fishing grounds. and They represent electric fishing boats. At the fishing ground node The charging and discharging power.

[0047] The toll cost of electric fishing boats is expressed as follows: in, This represents a set of nearshore fishing ground nodes, including fishing ground nodes and charging / discharging nodes; Indicates that the electric fishing boat starts from the node Drive to the node The total distance is calculated using Dijkstra's algorithm; The cost per unit distance traveled by an electric fishing boat is expressed in yuan / km. Indicates fishing boat from Drive to The starting time is represented as: in, Indicates fishing boat exist Is time moving from node Drive to the node .

[0048] The source-load imbalance of a fishery is expressed as: in, This indicates the source-load imbalance in the entire fishing area; Indicates fishing grounds exist The source-load imbalance power at any given moment; This indicates the total number of nodes in the fishing grounds.

[0049] Optionally, the fishing vessel resource parameters include: the working status of the electric fishing vessel, the initial charging pile location, the driving speed, the scheduling cycle duration, the first preset fishing vessel battery level, and the second preset fishing vessel battery level; step 102, determining the constraints of the electric fishing vessel based on its resource parameters, includes steps D1 to D5: Step D1: Limit the working state of the electric fishing boat to either being connected to a fishing ground or navigating between two different fishing grounds.

[0050] Step D2: Based on the initial charging pile location of the electric fishing boat, define the positional relationship between the electric fishing boat and the initial charging pile at a specific scheduling time; wherein, the specific scheduling time includes: scheduling start time and scheduling end time.

[0051] Step D3: Calculate the number of working hours for the electric fishing boat from the first fishing ground to the second fishing ground based on the distance between the first and second fishing grounds, the speed of the electric fishing boat, and the scheduling cycle of the electric fishing boat.

[0052] Step D4: Limit the time required for the electric fishing boat to travel from the first fishing ground to the second fishing ground to the number of working hours; based on the electric fishing boat's travel status, connection status, and number of working hours, limit the initial variable travel product of the electric fishing boat from the first fishing ground to the second fishing ground to be less than or equal to the connection variable between the electric fishing boat and the second fishing ground after the number of working hours has elapsed.

[0053] Step D5: Limit the electric fishing boat's power level between the first preset power level and the second preset power level.

[0054] In steps D1 to D5 above, the spatiotemporal constraints of the electric fishing boat include: Spatial constraints: At any given moment during scheduling, mobile energy storage has only two states: connected to a specific fishing ground or navigating between two fishing grounds, as represented by: To ensure that electric fishing boats arrive at their initial charging station locations at both the start and end of the dispatch process, their initial and final connection states must satisfy positional constraints: Constraints include: time constraints. Electric fishing boats from the demand node... Departure to demand node And enter the connected state; the number of elapsed moments during this period needs to be rounded up. in, Electric fishing boat The driving speed.

[0055] The operation of electric fishing boats needs to be maintained Each time step is represented as: After After a certain time step, the fishing boat docked at the node And connected to it: The power and energy constraints on electric fishing boats and mobile energy storage are as follows: Electric fishing boats can only provide charging and discharging services when connected to the fishing grounds. Electric fishing boats cannot be charged and discharged simultaneously: The battery life of electric fishing boats is divided into changes in battery life caused by charging and discharging at fishing ground nodes. and power loss during driving , is represented as: Electricity limitations of fishing boats: Optionally, step 102, which determines the power balance constraints of the fishing ground based on the fishing vessel resource parameters, the constraints of the electric fishing vessel, and the power parameters of the fixed energy storage, includes steps E1 to E3: Step E1: Based on the power parameters of the fixed energy storage, limit the amount of fixed energy storage between the first preset fixed energy storage amount and the second preset fixed energy storage amount.

[0056] Step E2: Add the wind and solar power generation power, fixed energy storage discharge power, and electric fishing boat discharge power of the fishing ground at the preset time to obtain the first power value; add the load power, fixed energy storage charging power, and electric fishing boat charging power of the fishing ground at the preset time to obtain the second power value.

[0057] Step E3: Limit the unbalanced power of the fishery to the difference between the first power value and the second power value.

[0058] In steps E1 to E3 above, the charging and discharging power limits for fixed energy storage are as follows: Fixed energy storage devices cannot charge and discharge simultaneously: Stationary energy storage power updates: The power limitations of stationary energy storage: Power balance limitations of fishing grounds: in, and These are the decision variables for charging and discharging electric fishing boats, and are binary variables. At that time, electric fishing boat At the node When providing discharge services, At that time, electric fishing boat At the node Provide charging services; and These are the charging and discharging decision variables for stationary energy storage, which are binary variables. At that time, fishing grounds Fixed energy storage at time Absorb electrical energy, when At that time, fishing grounds Fixed energy storage at time Release electrical energy; It is an electric fishing boat At any moment The amount of electricity; The change in electrical charge is caused by the charging and discharging of electric fishing boats at fishing ground nodes. This refers to the electricity consumption of electric fishing boats during navigation; and They are electric fishing boats The charge and discharge efficiency; It is the energy consumption per unit distance traveled by an electric fishing boat; and They are electric fishing boats The upper and lower limits of battery power; It is an electric fishing boat Rated capacity; It is a fishing ground node Fixed energy storage capacity; and These are fishing ground nodes The charging and discharging efficiency of stationary energy storage; and These are fishing ground nodes Upper and lower limits of the capacity of fixed energy storage; It is a fishing ground node Rated capacity of stationary energy storage; It is a fishing ground At any moment The wind and solar power generation capacity; It is a fishing ground At any moment The load power.

[0059] Step 103: Using a mixed integer programming solution method, based on the energy demand of the fishing ground, the resource status of fishing vessels, the scheduling objective function, the constraints of electric fishing vessels, and the power balance constraints of the fishing ground, the optimal scheduling strategy is obtained.

[0060] In step 103 above, stationary energy storage undertakes the task of power balancing within a single fish farm. By storing excess electricity during peak renewable energy generation periods and releasing it during off-peak periods or peak consumption periods, temporal power complementarity is achieved. This mechanism not only smooths out fluctuations in renewable energy output but also improves the fish farm's self-sufficiency and reduces dependence on external power sources.

[0061] Electric fishing boats can coordinate power supply and demand across different fishing grounds due to geographical differences in power demand and supply capacity. This allows for energy complementarity in a spatial dimension. Specifically, as mobile energy storage devices, electric fishing boats can flexibly transfer power between fishing grounds with sufficient power and those with high power demand, thus balancing the power load in different areas.

[0062] Fixed energy storage is responsible for responding to instantaneous power fluctuations and short-term energy regulation within a single fishing ground in real time, ensuring a stable power supply for the basic load of the fishing ground; electric fishing vessels are responsible for medium- and long-term energy allocation across fishing grounds, making up for the limited capacity of fixed energy storage, forming a multi-timescale complementary mechanism of "short-term response + long-term mutual assistance" and a multi-spatial-scale collaborative mode of "single-point stability + regional balance", which together improves system flexibility, enhances power supply reliability, and significantly reduces reliance on traditional backup power sources.

[0063] This invention constructs a "fixed + mobile" collaborative energy storage model suitable for nearshore fishing grounds, organically combining the time-regulation capability of fixed energy storage with the spatial mobility flexibility of electric fishing vessels, forming a complementary energy network in both time and space dimensions. Fixed energy storage is responsible for short-term energy balance and power fluctuation suppression within a single fishing ground, while electric fishing vessels, as mobile energy storage carriers, are responsible for medium- and long-term energy allocation between fishing grounds. The two work together to form a multi-timescale complementary mechanism of "short-term response + long-term mutual assistance" and a multi-spatial-scale collaborative mode of "single-point stability + regional equilibrium," significantly improving the system's flexibility and reliability.

[0064] This invention constructs a dual-objective optimization model that balances the operational benefits of electric fishing vessels with the energy-load balance of fishing grounds, achieving dual optimization of economic benefits and energy balance. By giving weight coefficients, the scheduling scheme can flexibly adjust its preferences according to actual needs, balancing the two objectives of maximizing economic benefits and minimizing energy-load imbalance, providing an adaptive solution for different application scenarios.

[0065] To demonstrate the effectiveness of the optimized scheduling algorithm proposed in this invention, a computational example involving 12 fishing ground nodes and 3 electric fishing vessels was constructed for verification. To ensure the operational management of the electric fishing vessels, 3 charging pile nodes were set up in the area as the initial berthing positions for the vessels. Each electric fishing vessel must return to its corresponding initial charging pile position at the beginning and end of the scheduling cycle to meet daily operational and maintenance needs. The maritime traffic network in this area is as follows: Figure 3 As shown.

[0066] Considering that this invention focuses on the scheduling strategy of electric fishing boats as mobile energy storage among fishing grounds, and to highlight the spatial complementarity of mobile energy storage and simplify computational complexity, the following assumptions are made: all 12 fishing grounds are equipped with photovoltaic power generation systems of the same scale, and due to the relatively concentrated geographical locations and similar solar irradiance conditions among the fishing grounds, the photovoltaic power generation output curves of each fishing ground are highly consistent. Based on this, this invention uses the standard photovoltaic power generation curve under typical sunny conditions as the unified photovoltaic output data for each fishing ground.

[0067] The 12 fish farms in this area exhibit four typical load characteristics due to differences in their functional positioning, aquaculture species, and operational modes. Through cluster analysis of the fish farm electricity consumption data, the load patterns of the fish farms can be divided into four types: morning peak (10:00-12:00), evening peak (18:00-20:00), afternoon peak (14:00-16:00), and bi-peak (9:00-10:00 and 17:00-18:00).

[0068] The scheduling time for this example is one operating day, set from 7:00 to 22:00, totaling 15 hours. The scheduling cycle is 1 hour, and the day is divided into 15 scheduling periods. The prices for selling and purchasing electricity from the electric fishing boat at the fishing grounds are RMB 1.3 / kWh and RMB 0.8 / kWh, respectively. The fixed energy storage parameters for the electric fishing boat and the fishing grounds are shown in Table 1.

[0069] Table 1 Energy Storage System Parameters

[0070] Based on the constraints and objective function of the electric fishing vessel optimal scheduling proposed in this invention, a mixed-integer programming method is used to solve the problem. The optimization results show that, within a given scheduling period, the three electric fishing vessels achieved a cumulative economic benefit of 181.39 yuan through optimized charging and discharging strategies, verifying the economic feasibility of electric fishing vessels participating in fishery power scheduling as mobile energy storage. Simultaneously, the intervention of mobile energy storage significantly reduced the source-load imbalance of the entire fishery area to 0.012, achieving source-load balance in the region. Figure 4 This represents a comparison of the imbalance rates of energy sources in fishing grounds with only fixed energy storage and those with electric fishing vessels participating. Figure 5aThis represents the source-load curves of fishing grounds 1-6 with the participation of electric fishing boats; Figure 5b This represents the source-load curves of fishing grounds 1-6 with the participation of electric fishing boats. Figure 6 This represents the source-load curve of the entire fishing ground area with the participation of electric fishing boats. Figure 7 This indicates the charging and discharging path and changes in the state of charge of the electric fishing vessel.

[0071] This invention provides a spatiotemporal coordinated scheduling method for electric fishing vessels in near-shore fishing grounds. The method involves: determining the energy demand of each fishing ground based on its basic data and the initial power state of fixed energy storage; determining the resource state of the electric fishing vessels based on their resource parameters; determining the scheduling objective function based on the operating revenue of all electric fishing vessels and the source-load imbalance of all fishing grounds; determining the constraints on the electric fishing vessels based on their resource parameters; determining the power balance constraints of the fishing grounds based on their resource parameters, constraints, and power parameters of fixed energy storage; and obtaining the optimal scheduling strategy using a mixed-integer programming approach, based on the fishing ground energy demand, vessel resource state, scheduling objective function, electric fishing vessel constraints, and fishing ground power balance constraints. In contrast to the limitations of existing technologies in terms of power supply reliability due to the limited fixed energy storage capacity in offshore fishing grounds under off-grid operation, this paper addresses the unique characteristics of the marine environment by setting constraints for electric fishing vessels and employing a mixed-integer programming solution method. Based on the energy demand of the fishing grounds, the resource status of fishing vessels, the scheduling objective function, the constraints of electric fishing vessels, and the power balance constraints of the fishing grounds, the optimal scheduling strategy is obtained, achieving a balance between the operational benefits of electric fishing vessels and the power-load balance of the fishing grounds.

[0072] The following describes the spatiotemporal coordinated scheduling device for electric fishing vessels in nearshore fishing grounds provided by the present invention. The spatiotemporal coordinated scheduling device for electric fishing vessels in nearshore fishing grounds described below can be referred to in correspondence with the spatiotemporal coordinated scheduling method for electric fishing vessels in nearshore fishing grounds described above.

[0073] Figure 8 This is a schematic diagram of the spatiotemporal coordinated scheduling device for electric fishing vessels in near-shore fishing grounds provided by the present invention, as shown below. Figure 8 As shown, the device includes the following: The demand and resource status determination module 801 is used to determine the energy demand of each fishing ground based on the basic data of each fishing ground and the initial power status of fixed energy storage; and to determine the resource status of fishing vessels based on the fishing vessel resource parameters of electric fishing vessels.

[0074] The objective and constraint determination module 802 is used to determine the scheduling objective function based on the operating revenue of all electric fishing vessels and the source-load imbalance of all fishing grounds; determine the constraints of electric fishing vessels based on their fishing vessel resource parameters; and determine the power balance constraints of the fishing grounds based on their fishing vessel resource parameters, constraints, and power parameters of fixed energy storage.

[0075] The optimal scheduling strategy generation module 803 is used to obtain the optimal scheduling strategy by adopting a mixed integer programming solution method based on the energy demand of the fishing ground, the resource status of fishing vessels, the scheduling objective function, the constraints of electric fishing vessels, and the power balance constraints of the fishing ground.

[0076] This invention provides a spatiotemporal coordinated scheduling device for electric fishing vessels in near-shore fishing grounds. It determines the energy demand of each fishing ground based on basic data and the initial power state of fixed energy storage; determines the resource status of the electric fishing vessels based on their resource parameters; determines the scheduling objective function based on the operating revenue of all electric fishing vessels and the source-load imbalance of all fishing grounds; determines the constraints on the electric fishing vessels based on their resource parameters; and determines the power balance constraints of the fishing grounds based on the resource parameters, constraints, and power parameters of fixed energy storage. Finally, it employs a mixed-integer programming solution method to obtain the optimal scheduling strategy based on the energy demand of the fishing grounds, the resource status of the fishing vessels, the scheduling objective function, the constraints of the electric fishing vessels, and the power balance constraints of the fishing grounds. In contrast to the limitations of existing technologies in terms of power supply reliability due to the limited fixed energy storage capacity in offshore fishing grounds under off-grid operation, this paper addresses the unique characteristics of the marine environment by setting constraints for electric fishing vessels and employing a mixed-integer programming solution method. Based on the energy demand of the fishing grounds, the resource status of fishing vessels, the scheduling objective function, the constraints of electric fishing vessels, and the power balance constraints of the fishing grounds, the optimal scheduling strategy is obtained, achieving a balance between the operational benefits of electric fishing vessels and the power-load balance of the fishing grounds.

[0077] Figure 9 This is a schematic diagram of the spatiotemporal coordinated charging and discharging optimization scheduling system for electric fishing vessels in near-shore fishing grounds provided by the present invention. The scheduling system is used to execute the aforementioned spatiotemporal coordinated scheduling method for electric fishing vessels in near-shore fishing grounds, such as... Figure 9 As shown, the scheduling system includes: The fishery energy forecasting subsystem 110 is used to predict the photovoltaic power generation curve, load demand curve and initial state of fixed energy storage for each fishery.

[0078] The fish farm energy forecasting subsystem 110 includes a photovoltaic power generation forecasting module 111, a load demand forecasting module 112, and a fixed energy storage status acquisition module 113.

[0079] The electric fishing vessel management subsystem 120 is used to manage the basic information of electric fishing vessels; it provides fishing vessel resource parameters for navigation route planning based on the basic information of the fishing vessels; the basic information of the fishing vessels includes: initial mooring position, battery capacity, speed capability and charging and discharging characteristics.

[0080] The electric fishing vessel management subsystem 120 includes a fishing vessel resource management module 121 and a navigation parameter calculation module 122.

[0081] The central dispatch subsystem 130 is used to integrate the energy demand of each fishing ground and the resource status of each fishing vessel. Based on the energy demand of the fishing ground, the resource status of the fishing vessel, the dispatch objective function, the constraints of electric fishing vessels and the power balance constraints of the fishing ground, it executes a bi-objective optimization algorithm to generate the optimal dispatch strategy.

[0082] The central dispatch subsystem 130 includes a data integration module 131 and an optimization algorithm module 132.

[0083] The instruction scheduling subsystem 140 is used to convert the optimal scheduling strategy into executable scheduling instructions and distribute them to the fishing grounds and electric fishing boats.

[0084] The instruction scheduling subsystem 140 includes an instruction format conversion module 141 and an instruction sending module 142.

[0085] Figure 10 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 10 As shown, the electronic device may include a processor 810, a communications interface 820, a memory 830, and a communication bus 840. The processor 810, communications interface 820, and memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions from the memory 830 to execute a spatiotemporal coordinated scheduling method for electric fishing vessels in near-shore fishing grounds.

[0086] Furthermore, the logical instructions in the aforementioned memory 830 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, 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.

[0087] 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 spatiotemporal coordinated scheduling method for electric fishing vessels in near-shore fishing grounds provided by the above methods.

[0088] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, is implemented to perform the spatiotemporal coordinated scheduling method for electric fishing vessels in near-shore fishing grounds provided by the methods described above.

[0089] 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.

[0090] 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.

[0091] 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 method for spatio-temporal coordination and scheduling of offshore fishing electric fishing vessels, characterized in that, The method comprises the following steps: According to the basic data of each fishing ground and the initial state of the power of the fixed energy storage, the energy demand of the fishing ground is determined; according to the fishing boat resource parameters of the electric fishing boat, the resource state of the fishing boat is determined; According to the operation income of all electric fishing boats and the source-load imbalance degree of all fishing grounds, the scheduling objective function is determined; according to the fishing boat resource parameters of the electric fishing boat, the constraint condition of the electric fishing boat is determined; according to the fishing boat resource parameters of the electric fishing boat, the constraint condition of the electric fishing boat and the power parameters of the fixed energy storage, the power balance constraint of the fishing ground is determined; The mixed integer programming solving method is adopted to obtain the optimal scheduling strategy based on the energy demand of the fishing ground, the resource state of the fishing boat, the scheduling objective function, the constraint condition of the electric fishing boat and the power balance constraint of the fishing ground.

2. The time-space coordinated scheduling method for offshore fishery electric fishing boats according to claim 1, characterized in that, According to the basic data of each fishing ground and the initial state of the power of the fixed energy storage, the energy demand of the fishing ground is determined; comprising: According to the predicted photovoltaic power generation curve of each fishing ground and the initial state of the power of the fixed energy storage, the power supply situation of the fishing ground is determined; According to the predicted load demand curve of each fishing ground, the load situation of each fishing ground is determined; According to the power supply situation and the load situation of each fishing ground, the energy demand of the fishing ground is determined.

3. The time-space coordinated scheduling method for offshore fishery electric fishing boats according to claim 1, characterized in that, According to the fishing boat resource parameters of the electric fishing boat, the resource state of the fishing boat is determined; comprising: According to the initial parking position, battery capacity, speed capability and charge-discharge characteristics of the electric fishing boat, the resource state of the fishing boat is determined.

4. The time-space coordinated scheduling method for offshore fishery electric fishing boats according to claim 1, characterized in that, According to the operation income of all electric fishing boats and the source-load imbalance degree of all fishing grounds, the scheduling objective function is determined, comprising: According to the connection state between each electric fishing boat and different fishing ground nodes, the electric fishing boat scheduling period length, the electricity purchase information of the electric fishing boat when charging in the fishing ground and the electricity sale information of the electric fishing boat when discharging in the fishing ground, the charge-discharge income of all electric fishing boats is determined; The difference between the charge-discharge income of all electric fishing boats and the sea passage cost of the electric fishing boat is calculated to obtain the operation income of all electric fishing boats; According to the strategy of maximizing the operation income of all electric fishing boats and minimizing the source-load imbalance degree of all fishing grounds, the scheduling objective function is determined.

5. The method according to claim 1, wherein, The fishing boat resource parameters comprise the working state, initial charging pile position, travel speed, scheduling period length, first preset fishing boat electric quantity and second preset fishing boat electric quantity of the electric fishing boat; the constraint condition of the electric fishing boat is determined according to the fishing boat resource parameters of the electric fishing boat, comprising: The working state of the electric fishing boat is limited to the connection state with one fishing ground or the sailing state between two different fishing grounds; According to the initial charging pile position of the electric fishing boat, the positional relationship between the electric fishing boat and the initial charging pile at a specific scheduling time is limited; wherein, the specific scheduling time comprises the scheduling start time and the scheduling end time; According to the distance between the first fishing ground and the second fishing ground, the travel speed of the electric fishing boat and the scheduling period length of the electric fishing boat, the number of working times of the electric fishing boat from the first fishing ground to the second fishing ground is calculated; The time step required for the electric fishing boat to travel from the first fishing ground to the second fishing ground is defined as the number of working hours; according to the travel state of the electric fishing boat, the connection state of the electric fishing boat and the number of working hours, the starting variable of the electric fishing boat from the first fishing ground to the second fishing ground is defined as less than or equal to the connection variable of the electric fishing boat with the second fishing ground after the number of working hours; The electric quantity of the electric fishing boat is limited between the first preset fishing boat electric quantity and the second preset fishing boat electric quantity.

6. The time-space coordinated scheduling method for offshore fishery electric fishing boats according to claim 5, characterized in that, The power balance constraint of the fishing ground is determined according to the fishing boat resource parameter of the electric fishing boat, the constraint condition of the electric fishing boat and the power parameter of the fixed energy storage, including: The electric quantity of the fixed energy storage is limited between the first preset fixed energy storage electric quantity and the second preset fixed energy storage electric quantity according to the power parameter of the fixed energy storage; The first power value is obtained by adding the wind and light power generation power of the fishing ground at the preset time, the fixed energy storage discharge power and the electric fishing boat discharge power; the second power value is obtained by adding the load power of the fishing ground at the preset time, the fixed energy storage charging power and the electric fishing boat charging power; The unbalanced power of the fishing ground is defined as the difference between the first power value and the second power value.

7. A time-space coordination scheduling device for offshore fishing electric fishing boats, characterized in that, It includes: A demand and resource state determination module is configured to determine the energy demand of the fishing ground according to the basic data of each fishing ground and the initial state of the power of the fixed energy storage; The fishing boat resource state is determined according to the fishing boat resource parameter of the electric fishing boat; A target and constraint determination module is configured to determine a scheduling target function according to the operating income of all electric fishing boats and the source and load imbalance degree of all fishing grounds; determine the constraint condition of the electric fishing boat according to the fishing boat resource parameter of the electric fishing boat; determine the power balance constraint of the fishing ground according to the fishing boat resource parameter of the electric fishing boat, the constraint condition of the electric fishing boat and the power parameter of the fixed energy storage; An optimal scheduling strategy generation module is configured to obtain an optimal scheduling strategy based on the energy demand of the fishing ground, the fishing boat resource state, the scheduling target function, the constraint condition of the electric fishing boat and the power balance constraint of the fishing ground by using a mixed integer programming solution method.

8. A time-space coordination scheduling system for offshore fishing electric fishing vessels, for performing the method of any one of claims 1 to 6, characterized in that, It includes: A fishing ground energy prediction subsystem is configured to predict the photovoltaic power generation curve, the load demand curve and the initial state of the fixed energy storage of each fishing ground; An electric fishing boat management subsystem is configured to manage the basic information of the fishing boat of the electric fishing boat; The basic information of the fishing boat provides the fishing boat resource parameter for the navigation path planning; The basic information of the fishing boat includes: initial parking position, battery capacity, speed capability and charging and discharging characteristics; A central scheduling subsystem is configured to integrate the energy demand of each fishing ground and the resource state of each fishing boat; based on the energy demand of the fishing ground, the fishing boat resource state, the scheduling target function, the constraint condition of the electric fishing boat and the power balance constraint of the fishing ground, a double target optimization algorithm is executed to generate an optimal scheduling strategy; An instruction scheduling subsystem is configured to convert the optimal scheduling strategy into executable scheduling instructions and distribute them to the fishing ground and the electric fishing boat.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, The processor executes the computer program to realize the offshore fishing ground electric fishing boat space-time collaborative scheduling method of any one of claims 1 to 6.

10. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by a processor to implement the offshore fishery electric fishing boat space-time coordination scheduling method according to any one of claims 1 to 6.

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