Photovoltaic and energy storage collaborative regulation and management platform and control method

Abstract

This invention discloses a photovoltaic (PV) and energy storage collaborative regulation and management platform and control method, belonging to the field of shipboard new energy storage regulation. It aims to solve the problems of poor adaptability, insufficient safety protection, and lagging regulation in shipboard PV-storage systems. The platform includes a shipboard PV-storage regulation parameter acquisition module, a PV-storage-fuel power collaborative scheduling module, and a marine environment early warning and regulation module. It collects multi-source data and associates it with spatiotemporal tags to construct a dataset and calculate core regulation parameters, predicting PV output trends. It quantifies marine environmental stress factors, couples equipment parameters to analyze failure probabilities, and provides graded early warnings. It executes a three-level scheduling based on "PV priority consumption – energy storage supplementation – fuel oil backup," linking risk levels to dynamically optimize strategies. This invention achieves precise matching of energy supply and demand, reduces the risk of equipment failure caused by the marine environment, ensures continuous power supply to core loads, improves PV consumption efficiency and system stability, and balances environmental protection and operational economy, making it suitable for various shipboard new energy power supply scenarios.

Description

Technical Field

[0001] This invention belongs to the field of marine new energy storage regulation technology, specifically involving a photovoltaic and energy storage coordinated regulation management platform and control method. Background Technology

[0002] Global "dual carbon" goals are driving the green transformation of the shipping industry. Traditional fuel-fired generators, due to their high energy consumption and pollution, are no longer sufficient to meet demand, leading to the gradual adoption of photovoltaic (PV) + energy storage co-powered systems. However, the complex operating conditions of ships (fluctuating loads, varying speeds and sea conditions) and the multiple stresses of the marine environment present challenges. Existing PV-energy storage systems have technical shortcomings in data processing, environmental adaptability, and coordinated control, hindering system stability and economic viability. Specifically, the following technical issues are identified: Multi-source heterogeneous data lacks spatiotemporal collaborative modeling capabilities, and photovoltaic output prediction does not take into account the dynamic evolution of navigation conditions, resulting in low prediction accuracy, lack of foresight in scheduling decisions, and inability to achieve precise matching of energy supply and demand. There is no established coupling correlation mechanism between multiple marine environmental stress factors and equipment status, and there is a lack of dynamic protection strategies based on the comprehensive stress level. Relying solely on single parameter monitoring makes it difficult to predict potential failures, leading to accelerated equipment wear and tear and prominent safety risks. The current photovoltaic-storage-fuel integrated regulation lacks a tiered response logic. When supply and demand are imbalanced, the switching between energy storage for replenishment and fuel oil as a backup lacks adaptability. Furthermore, it does not develop differentiated power supply solutions based on fault risks, resulting in insufficient security for continuous power supply to core loads. To address this, we propose a photovoltaic and energy storage integrated regulation management platform and control method. Summary of the Invention

[0003] The purpose of this invention is to provide a photovoltaic and energy storage coordinated regulation and management platform and control method to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a photovoltaic and energy storage coordinated regulation and management platform, comprising: Shipborne photovoltaic and energy storage regulation parameter acquisition module: Collects multi-source data on shipborne photovoltaic and energy storage operating conditions, constructs multi-source datasets, predicts the total photovoltaic output, analyzes the target threshold of dynamic photovoltaic absorption rate, energy storage state of charge, fuel generator start-stop threshold, actual photovoltaic absorption power, photovoltaic absorption rate, and power supply gap, and forms a set of core parameters for shipborne photovoltaic and energy storage coordinated regulation. Photovoltaic-storage-oil power coordinated scheduling module: acquires the core parameters of shipborne photovoltaic-storage coordinated regulation, determines the energy storage charging adaptation conditions, energy storage charging and discharging capacity, and whether the power supply gap reaches the economic threshold for starting the oil generator. Combined with the predicted value of total photovoltaic output, it predicts the output trend and triggers three-level energy scheduling according to the principles of photovoltaic priority consumption, energy storage supplementation, and oil backup. Marine environment early warning and control module: Collects marine environment data, analyzes comprehensive marine environment impact factors, constructs a sliding window for environmental stress assessment, analyzes comprehensive environmental stress assessment values, adjusts the target threshold for dynamic photovoltaic absorption rate, collects parameters of shipborne photovoltaic and energy storage equipment, and analyzes equipment failure probability in conjunction with comprehensive marine environment impact factors to determine risk warning level. When the risk is low, power fluctuation limiting control is implemented, and when the risk is high, emergency power supply control is implemented.

[0005] Preferably, the specific process for predicting the total photovoltaic output is as follows: Acquire multi-source data for shipborne photovoltaic and energy storage operation monitoring. This multi-source data includes: total photovoltaic output power, real-time ship load power, initial state of charge of energy storage, rated capacity of energy storage, speed, sea state, unit cost of fuel oil power generation, and cost of energy storage charging and discharging losses. For each piece of multi-source data, a spatiotemporal label containing timestamps and ship position coordinates is associated. Data preprocessing is performed simultaneously to construct a structured multi-source dataset with associated spatiotemporal labels. The total photovoltaic power output corresponding to a continuous spatiotemporal acquisition cycle with a preset number of historical samples is extracted from this dataset. A photovoltaic power output prediction model is constructed using a linear regression model to predict the total photovoltaic power output at the ship position corresponding to the next acquisition cycle.

[0006] Preferably, the specific process for analyzing the target threshold for dynamic photovoltaic absorption rate, the state of charge of energy storage, and the start-stop threshold for fuel generators is as follows: The real-time ship speed and sea state level under the current time and space are obtained, and a comprehensive analysis is performed in combination with the preset threshold of the benchmark absorption rate and the preset influence coefficient to obtain the target threshold of the dynamic photovoltaic absorption rate. By obtaining the unit cost of fuel-fired power generation, the cost of energy storage charging and discharging losses, and the rated capacity of energy storage, and combining them with a preset control cycle, a comprehensive analysis is conducted to obtain the start-stop threshold of the fuel-fired generator. Based on the initial state of charge of the energy storage and the charging and discharging power of the energy storage in the previous control cycle, combined with the rated capacity of the energy storage, the state of charge of the energy storage is calculated by integration.

[0007] Preferably, the specific process for analyzing the actual photovoltaic absorption capacity, photovoltaic absorption rate, and power supply gap is as follows: The system acquires the total photovoltaic output power, real-time ship load power, real-time energy storage state of charge, preset maximum safe state of charge of energy storage, and rated energy storage capacity under the current time and space conditions, and performs comprehensive analysis to obtain the actual photovoltaic power consumption. Based on the actual photovoltaic power absorbed and the total photovoltaic output power in the current time and space, a comprehensive analysis is performed to obtain the photovoltaic absorption rate; Based on the real-time load power of ships under the current time and space conditions and the actual photovoltaic power absorption capacity obtained, a comprehensive analysis is performed to determine the power supply gap; By integrating the current forecast of total photovoltaic output, the target threshold of dynamic photovoltaic absorption rate, the state of charge of energy storage, the start-stop threshold of fuel generator, the actual photovoltaic absorption power, the photovoltaic absorption rate, and the power supply gap, a set of core parameters for shipborne photovoltaic-energy storage coordinated regulation is formed.

[0008] Preferably, the specific process for determining the energy storage charging compatibility conditions and energy storage charging and discharging capabilities is as follows: The photovoltaic absorption rate under the current time and space is obtained and compared with the target threshold of dynamic photovoltaic absorption rate. If the photovoltaic absorption rate is lower than the target threshold of dynamic photovoltaic absorption rate, it is determined that the photovoltaic absorption is not sufficient and the conditions for energy storage charging are met. Obtain the current state of charge of the energy storage in the current time and space, and compare it with the preset maximum safe state of charge and the preset minimum safe state of charge of the energy storage. If the state of charge of the energy storage is lower than the preset maximum safe state of charge of the energy storage, it is determined that the energy storage has the ability to be charged. If the energy storage state of charge is higher than the preset minimum safe state of charge, then the energy storage is determined to have discharge capability.

[0009] Preferably, the specific process for determining whether the power supply gap has reached the economic threshold for starting the fuel-fired generator, and for predicting the power output trend based on the total photovoltaic power output forecast, is as follows: The power supply gap and the start-stop threshold of the fuel generator under the current time and space are obtained and compared. If the power supply gap is higher than the start-stop threshold of the fuel generator, it is determined that the power supply gap has reached the economic threshold for starting the fuel generator. The photovoltaic power output forecast for the next cycle is obtained and compared with the total photovoltaic power output in the current time and space. If the photovoltaic power output forecast for the next cycle is higher than the current total photovoltaic power output, it is predicted that the photovoltaic power output will increase; if the photovoltaic power output forecast for the next cycle is lower than the current total photovoltaic power output, it is predicted that the photovoltaic power output will decrease; if the two are equal, it is predicted that the photovoltaic power output will remain stable.

[0010] The preferred approach, based on the principles of prioritizing photovoltaic power consumption, supplementing with energy storage, and using fuel oil as a backup, involves the following specific process for triggering a three-tiered energy dispatch system: If the current spatiotemporal photovoltaic absorption rate is lower than the dynamic photovoltaic absorption rate target threshold and the energy storage state of charge is lower than the preset maximum safe state of charge for energy storage, priority 1 is triggered, specifically: Derive the energy storage charging power and regulate the charging of the energy storage system; If the predicted photovoltaic output for the next cycle is higher than the current total photovoltaic output, the preset maximum safe state of charge of energy storage will be temporarily increased by the preset relaxation ratio during charging. If priority 1 is not met, and the power supply gap is positive and the energy storage state of charge is higher than the preset minimum safe state of charge for energy storage, priority 2 will be triggered, specifically as follows: Derive the energy storage discharge power and regulate the discharge of the energy storage system to make up for the power supply gap; If, under this power shortage scenario, the predicted photovoltaic output value for the next cycle is lower than the current total photovoltaic output power, the discharge power will be increased in advance according to the preset power amplification range, and the maximum discharge power will not exceed the maximum discharge power of the current remaining energy storage capacity corresponding to a single control cycle. If neither priority 1 nor 2 conditions are met, and the power supply shortfall is higher than the fuel generator start-stop threshold and the energy storage state of charge is equal to the preset minimum safe state of charge for energy storage, priority 3 will be triggered, specifically: Derive the output power of the fuel generator, start the fuel generator and adjust its output power to equal the power supply gap; If the predicted photovoltaic output for the next cycle is higher than the current total photovoltaic output in this scenario, a gradual shutdown strategy is set, and the output power of the fuel generator is reduced by a preset reduction ratio in each control cycle until its output power is zero. After the scheduling is completed, the photovoltaic absorption rate, fuel generator output power, energy storage state of charge, and power supply gap of this regulation will be synchronized to the structured dataset.

[0011] Preferably, the specific process of collecting marine environmental data, analyzing comprehensive marine environmental impact factors, constructing a sliding window for environmental stress assessment, analyzing comprehensive environmental stress assessment values, and adjusting the target threshold for dynamic photovoltaic absorption rate is as follows: The salt spray concentration, hull turbulence amplitude, and electromagnetic interference intensity of the ship's equipment compartments are obtained at the current time and space. After normalization and dimensionless processing, they are combined with preset weight coefficients for comprehensive analysis to obtain the comprehensive impact factor of the marine environment. A sliding window for environmental stress assessment is set with the current spatiotemporal node as the end point of the window. The comprehensive impact factors of the marine environment at each spatiotemporal node within the window are collected, and their standard deviation, peak value, and average value are calculated. Combined with the corresponding preset coefficients, a comprehensive analysis is performed to obtain the comprehensive environmental stress assessment value. If the comprehensive environmental stress assessment value reaches the corresponding preset threshold, the target threshold of dynamic photovoltaic absorption rate under the current time and space is extracted, and the target threshold of environmental stress optimized photovoltaic absorption rate is calculated in combination with the preset correction coefficient. This target threshold is then used as the dynamic photovoltaic absorption rate scheduling threshold under the current time and space, and photovoltaic-storage coordinated scheduling operation is executed.

[0012] Preferably, the specific process of analyzing equipment failure probability, determining risk warning level, implementing power fluctuation limiting control when the risk is low, and implementing emergency power supply control when the risk is high is as follows: The insulation resistance of the line and the temperature of the energy storage battery of the shipborne photovoltaic energy storage system are collected. The rated insulation resistance of the line and the maximum withstand temperature of the battery are obtained. After normalizing and dimensionless processing of the above parameters, a comprehensive analysis is performed in combination with preset weighting coefficients to obtain the probability of equipment failure. The system presets a fault probability warning threshold and a fault probability emergency threshold. When the equipment fault probability is between the two, a low-risk warning is triggered, and a signal is generated and sent to the personnel terminal and the photovoltaic-storage-oil power collaborative scheduling module. The personnel terminal issues an audible and visual alarm and displays relevant parameters. At the same time, the product of the energy storage rated power and the charging and discharging power fluctuation limit coefficient is calculated as the upper limit of the power fluctuation constraint. This limits the absolute value of the difference between the energy storage charging and discharging power in the current and previous control cycles to be within the upper limit of the constraint, maintaining the original dynamic photovoltaic absorption rate target threshold and scheduling priority. When the probability of equipment failure reaches or exceeds the emergency threshold, a high-risk warning is triggered, a signal is generated and sent to relevant terminals, personnel terminals issue strong audible and visual alarms and push information, the photovoltaic-oil storage power collaborative scheduling module stops the dynamic control of energy storage charging and discharging, the fuel generator is started for backup power supply, the maximum allowable output of photovoltaic is allocated according to the core load priority, the insufficient part is supplemented by the fuel generator, the dynamic photovoltaic absorption rate target threshold is lowered to the preset safety benchmark value, and this state continues until the operation and maintenance personnel report that the fault has been resolved.

[0013] Compared with the prior art, the beneficial effects of the present invention are: (1) The photovoltaic and energy storage coordinated regulation and management platform and control method, by performing spatiotemporal tag association and structured integration of shipborne multi-source heterogeneous data, and combining linear regression model and historical operating condition data to construct photovoltaic output prediction model, accurately predicts the photovoltaic output trend of the next cycle; at the same time, dynamically adapts to the navigation conditions of speed and sea state, optimizes the target threshold of photovoltaic absorption rate and the regulation parameters of energy storage and fuel generator in real time, realizes the forward-looking matching of energy supply and demand, significantly improves photovoltaic absorption efficiency, reduces fuel waste, and takes into account environmental protection and operational economy.

[0014] (2) The photovoltaic and energy storage coordinated regulation and control platform and control method establishes a quantitative assessment mechanism for multiple stress factors of marine environment such as salt spray, turbulence and electromagnetic interference, and analyzes the comprehensive impact through the sliding window of environmental stress assessment; and calculates the failure probability by coupling equipment parameters such as line insulation resistance and energy storage battery temperature, forming a low-risk and high-risk graded early warning and regulation strategy; when the risk is low, power fluctuations are limited to avoid equipment damage, and when the risk is high, emergency fuel power supply is started to protect the core load, effectively reducing the risk of equipment loss and sudden failure caused by marine environment and improving the system navigation safety redundancy.

[0015] (3) The photovoltaic and energy storage coordinated regulation and control platform and control method, through the design of a three-level scheduling logic of "photovoltaic priority consumption - energy storage replenishment - fuel oil backup", combined with the prediction of photovoltaic output trend and dynamic adjustment of regulation strategy, reserves energy storage charging space when photovoltaic increases and increases energy storage discharge power in advance when photovoltaic decreases; at the same time, the power supply scheme is optimized in conjunction with the fault risk level, which not only avoids excessive charging and discharging of energy storage and frequent start-stop of fuel generator, but also ensures continuous power supply to core loads under supply and demand imbalance and fault scenarios, which greatly improves the operational resilience and power supply reliability of the shipboard energy system. Attached Figure Description

[0016] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example 1; Please see Figure 1 This invention provides a photovoltaic and energy storage coordinated control and management platform, comprising: Shipborne solar-energy storage regulation parameter acquisition module: Collects multi-source data from shipborne solar-energy storage operating condition monitoring, constructs a multi-source dataset, predicts the total solar output, analyzes the dynamic solar grid connection target threshold, energy storage state of charge, fuel generator start-stop threshold, actual solar grid connection power, solar grid connection rate, and power supply gap, forming a core parameter set for shipborne solar-energy storage coordinated regulation. The specific process is as follows: Standardized protocols are used to access ship navigation status monitoring equipment, photovoltaic modules, energy storage systems and load monitoring terminals to obtain multi-source data on shipboard photovoltaic and energy storage conditions, such as ship navigation conditions, photovoltaic output, energy storage status and load demand. Spatiotemporal labels are associated with each data point, and data preprocessing is performed to construct a structured multi-source dataset with associated spatiotemporal labels. The multi-source data for monitoring the operating conditions of shipborne photovoltaic and energy storage include: total photovoltaic output power, real-time ship load power, initial state of charge of energy storage, rated capacity of energy storage, speed, sea state (according to international sea state classification standards), unit cost of fuel oil power generation, and cost of energy storage charging and discharging losses. Spatiotemporal tags include: timestamps, ship position coordinates, etc. Extract the total photovoltaic power output from the first k consecutive spatiotemporal acquisition cycles from the multi-source dataset, where k is the preset number of historical samples; A linear regression model is used to construct a photovoltaic power output prediction model to predict the total photovoltaic power output for the next data collection cycle. The model expression is as follows: ,in, This is the predicted total photovoltaic output at the ship's position (x, y) at time t+1 of the next data collection cycle, where t is the label of the data collection cycle; a and b are the model's fitting coefficients. a and b can be obtained by using the least squares method to fit the total photovoltaic power output of the first k consecutive spatiotemporal acquisition cycles with the corresponding acquisition cycle t. Obtain the current speed and sea state level in the given time and space, and use the formula: The target threshold for dynamic photovoltaic grid integration rate is obtained. ; Characterizes the control target of the effective utilization ratio of electrical energy that the photovoltaic system needs to achieve under the current time and space conditions; in, A threshold is preset for the benchmark absorption rate. The real-time speed of the ship in the current time and space. This represents the sea state level in the current time and space. and The preset influence coefficient; The higher the speed of the ship and the worse the sea conditions, the greater the impact of vibration and shading on the photovoltaic modules, the worse their stability, and the lower the corresponding target threshold for dynamic photovoltaic absorption rate. Obtain the unit cost of fuel oil power generation, the cost of energy storage charging and discharging losses, and the rated capacity of energy storage, and use the formula: The start / stop threshold of the fuel generator is obtained. The power threshold that indicates whether the fuel generator is started; in, The unit cost of fuel oil power generation, Costs associated with energy storage charging and discharging losses. For the rated capacity of energy storage, For preset control cycles; Based on the initial state of charge of the energy storage and historical charge and discharge power, using the integral formula: The energy storage state of charge is obtained. ; Represents the real-time remaining power ratio of the energy storage system under the current time and space conditions; in, The initial state of charge (SOC) of the energy storage is defined as follows: t0 is the initial time for calculating the SOC (i.e., the starting point of this SOC calculation), and (x0, y0) are the initial coordinates of the ship's position at the initial time t0. The energy storage charging and discharging power of the previous regulation cycle ( (This is an integral variable, corresponding to a historical moment; it is negative during charging and positive during discharging.) This refers to the rated capacity of the energy storage. Obtain the total photovoltaic power output, real-time ship load power, and real-time energy storage state of charge under the current time and space conditions, and use the formula: To obtain the actual photovoltaic power consumption , representing the maximum power value that can be utilized in the current spacetime; in, This represents the total photovoltaic power output under the current time and space conditions. This represents the real-time load power of the ship in the current time and space. To preset the highest safe state of charge for energy storage, This refers to the rated capacity of the energy storage. Based on the actual photovoltaic power absorption capacity and the total photovoltaic output capacity, and using the formula: To obtain the photovoltaic absorption rate ; Represents the highest proportion of photovoltaic energy that can be effectively utilized; Based on the ship's real-time load power and the actual photovoltaic absorption power, and using the formula: The power supply gap was obtained. ; Among them, when When the value is greater than 0, it indicates that the photovoltaic power absorption capacity cannot meet the load demand under the current time and space conditions, resulting in insufficient power supply; when When <0, it indicates that the photovoltaic power absorption capacity exceeds the load demand under the current time and space conditions, indicating a surplus of photovoltaic output; when When the value is 0, it indicates that supply and demand are in balance under the current time and space conditions; By integrating the predicted total photovoltaic output, the target threshold for dynamic photovoltaic absorption rate, the state of charge of energy storage, the start-stop threshold of fuel generator, the actual photovoltaic absorption power, the photovoltaic absorption rate, and the power supply gap calculated under the current time and space, a set of core parameters for shipborne photovoltaic-energy storage coordinated regulation is formed.

[0019] It should be noted that by integrating multi-dimensional data such as ship navigation, photovoltaics, energy storage, and load through standardized protocols, associating timestamps with spatiotemporal labels of ship positions and preprocessing them, a structured multi-source dataset is constructed, providing a unified and reliable data foundation for subsequent scheduling and early warning, and avoiding decision-making biases caused by fragmented data; Based on the linear regression model and historical cycle data, the total photovoltaic output of the next cycle is predicted. Combined with the ship speed and sea state, the target threshold of photovoltaic absorption rate is dynamically adjusted so that the parameter analysis is no longer limited to fixed thresholds, but adapts to the dynamic changes of ship navigation conditions, solving the pain point that traditional fixed logic cannot cope with complex working conditions. By using integral calculation and multi-parameter coupling analysis, key parameters such as energy storage state of charge, fuel generator start-stop threshold, and actual photovoltaic power absorption are accurately obtained. This clarifies the supply and demand balance of the power supply gap and ensures that the photovoltaic-fuel power collaborative scheduling module can trigger the appropriate scheduling priority based on accurate parameters, thereby reducing problems such as low photovoltaic absorption rate and fuel waste caused by blind scheduling. The data analysis process fully considers the energy storage charging and discharging characteristics, photovoltaic power output fluctuation patterns, and load demand changes. The resulting set of core parameters not only provides a basis for scheduling but also provides accurate equipment operating parameters for the failure probability analysis of the marine environment early warning and control module, helping to identify risks in advance and avoid equipment damage or power outages caused by inaccurate parameters. By accurately predicting photovoltaic output and dynamically optimizing the absorption threshold, the utilization rate of photovoltaic energy can be maximized, the dependence on fuel generators can be reduced, fuel consumption and pollutant emissions can be lowered, and environmental protection and economy can be balanced to respond to the global "dual carbon" goal.

[0020] The photovoltaic-storage-oil power coordinated scheduling module acquires core parameters for shipborne photovoltaic-storage coordinated regulation, determines the energy storage charging compatibility conditions, energy storage charging and discharging capacity, and whether the power supply gap reaches the economic threshold for starting the oil generator. It then combines the predicted total photovoltaic output to forecast the output trend and triggers a three-level energy dispatch system based on the principles of priority photovoltaic consumption, energy storage supplementation, and oil backup. This system simultaneously regulates key data to a multi-source dataset. The specific process is as follows: Obtain the photovoltaic absorption rate in the current time and space. With dynamic photovoltaic absorption rate target threshold Compare the two, if < If so, it is determined that the photovoltaic power has not been fully utilized and that the conditions for energy storage and charging are met; Obtain the current state of charge of energy storage in space and time. Each is related to the preset highest safe state of charge of energy storage. Preset minimum safe state of charge for energy storage Perform a comparison, if < If so, then the energy storage is determined to have charging capability; if > If so, it is determined that the energy storage has the ability to discharge; Obtain the power supply gap in the current time and space. With respect to the start / stop threshold of fuel generator Perform a comparison, if > If the power supply shortage reaches the economic threshold for starting the fuel generator, then it is determined that the power supply shortage has reached the threshold for starting the fuel generator. Obtain the photovoltaic power output forecast for the next cycle With the current total photovoltaic power output Perform a comparison; like > Therefore, it is predicted that photovoltaic power output will show an increasing trend; like < If the output of photovoltaic power is equal to the output of photovoltaic power, it is predicted that the output of photovoltaic power will decrease; if the output of photovoltaic power is equal to the output of photovoltaic power, it is predicted that the output of photovoltaic power will remain stable. Extract all judgment results and trigger energy dispatch priority according to the principle of photovoltaic consumption priority → energy storage supplementation priority → fuel oil backup priority, specifically: If the following conditions are met in the current spacetime: < and < Then priority 1 (prioritizing photovoltaic absorption and energy storage charging) will be triggered, specifically: Construct the power balance derivation formula: (The negative sign indicates charging), thus obtaining the energy storage charging power. ; Based on the energy storage charging power, the energy storage system is regulated to perform charging actions, at which time the output power of the fuel generator is zero. If the photovoltaic output forecast for the next cycle is... > When performing energy storage charging, the preset highest safe state of charge for energy storage is used. The adjustment is made temporarily according to the preset relaxation ratio; the purpose is to reserve sufficient charging capacity and avoid a bottleneck in the absorption of power when the photovoltaic output increases in the future. If priority 1 condition is not met, and the following conditions are met: >0 and > (Insufficient power supply + energy storage can be discharged), then priority 2 (energy storage discharge to replenish energy) is triggered, specifically: Derivation of energy storage discharge power based on power balance relationship (The positive sign indicates discharge), and based on the derived energy storage discharge power, the energy storage system is regulated to perform discharge action to make up for the power supply gap. At this time, the output power of the fuel generator is zero. If this power shortage scenario applies, the predicted photovoltaic output value for the next cycle... < (If the power supply shortage is anticipated to widen further), then when performing the discharge action, the discharge power will be increased in advance according to the preset power amplification range, and the maximum amplification power will be less than or equal to (That is, the maximum discharge power limit of the current remaining energy storage capacity within a single control cycle). If neither priority conditions 1 nor 2 are met, and the conditions are met... > and = If the power supply shortage exceeds the threshold and there is no energy to store, then priority 3 will be triggered, specifically: Derivation of the output power of the fuel generator based on power balance relationship Based on the derived output power of the fuel generator, the fuel generator is started and its output power is adjusted to equal the power supply gap. In the scenario of fuel-powered generator refueling, if the predicted photovoltaic output value for the next cycle is... > (Predicting that photovoltaic output will recover and the power supply gap will narrow), a gradual shutdown strategy is set for each control cycle. The output power of the fuel generator is reduced according to a preset reduction ratio until the output power of the fuel generator is zero. The purpose is to avoid frequent start-stop and reduce equipment wear and fuel waste. After the scheduling is completed, the key data of this regulation, including: photovoltaic absorption rate, fuel generator output power, energy storage status of charge, and power supply gap, will be synchronized to the structured dataset. Furthermore, the photovoltaic grid integration rate will be continuously monitored for three consecutive cycles following this round of regulation. With dynamic photovoltaic absorption rate target threshold If the actual photovoltaic absorption rate For three consecutive regulation cycles, the value of photovoltaic power generation has remained below the target threshold for dynamic photovoltaic power consumption. Then, according to the preset adaptability adjustment ratio, the preset influence coefficient is lowered. and The aim is to reduce the difficulty of adapting to the target threshold of dynamic photovoltaic absorption rate and improve the feasibility of scheduling.

[0021] It should be noted that, based on core parameters such as photovoltaic absorption rate, energy storage state of charge, and power supply gap, combined with the prediction of photovoltaic output trend (increase / decrease / stable), a differentiated scheduling scheme is triggered, breaking the limitations of the traditional fixed charging and discharging logic, perfectly adapting to the load and photovoltaic output fluctuations caused by changes in ship speed and sea state, and ensuring that the scheduling decision is in line with the real-time operating conditions. With "prioritizing photovoltaic power consumption" as the core, energy storage charging is prioritized when photovoltaic power is not fully consumed, and even the maximum safe state of charge of energy storage is temporarily relaxed to avoid wasting photovoltaic power output; when power supply is insufficient, energy storage is prioritized to replace fuel power generation, and fuel power is only activated as a backup when energy storage has no power to release and the power supply gap exceeds the threshold, which significantly reduces fuel consumption and pollutant emissions, and balances green transformation and operating cost control. A refined control logic is designed for energy storage and fuel generators—when energy storage discharges, a maximum discharge power limit is set for a single control cycle to avoid over-discharge and damage to the battery; when fuel generators replenish energy, a gradual shutdown strategy is adopted to avoid mechanical losses caused by frequent start-stop. At the same time, the use frequency of high-loss equipment is reduced through the priority design of "energy storage without burning, and solar power without storage". By accurately calculating the charging and discharging power of energy storage and the output power of fuel generators through power balance derivation, it is ensured that there is no overload during charging, the power supply gap is accurately filled during discharging, and the power is fully matched to the demand when fuel is used as a backup, so as to avoid voltage fluctuations or power outages caused by supply and demand imbalances. At the same time, the predictive adjustment for different output trends (such as reserving charging space in advance when photovoltaics are increased, and increasing the discharge power in advance when photovoltaics are reduced) further improves the continuity of power supply. After scheduling, key data is synchronized to a structured dataset to provide a basis for subsequent parameter analysis. At the same time, by continuously monitoring the photovoltaic absorption rate over three control cycles, the preset influence coefficient is dynamically lowered to optimize the target threshold of the dynamic photovoltaic absorption rate, avoiding scheduling failure due to excessively high threshold settings. This allows the scheduling strategy to gradually adapt to the operating conditions of long-term ship navigation, improving the stability and reliability of the system's long-term operation.

[0022] Marine environment early warning and control module: Collects marine environmental data, analyzes comprehensive marine environmental impact factors, constructs a sliding window for environmental stress assessment, analyzes comprehensive environmental stress assessment values, adjusts the target threshold for dynamic photovoltaic absorption rate, collects parameters of shipborne photovoltaic and energy storage equipment, and analyzes equipment failure probability in conjunction with comprehensive marine environmental impact factors to determine the risk warning level, and executes power fluctuation limits and emergency power supply control. The specific process is as follows: The system acquires marine environmental data of the ship's equipment compartments in the current time and space using salt spray sensors, vibration sensors, and electromagnetic sensors. This data includes salt spray concentration, ship turbulence amplitude, and electromagnetic interference intensity, and is then normalized and dimensionless. Using the formula: To obtain the corresponding comprehensive marine environmental impact factors in the current time and space. ; in, Salt spray concentration in ship equipment compartments characterizes the salt spray content in the air of equipment compartments and reflects the degree of chemical corrosion stress on photovoltaic storage equipment by the marine environment; The hull pitching amplitude represents the vertical vibration amplitude of the hull and reflects the degree of mechanical vibration stress exerted on the photovoltaic storage equipment by the marine environment. Electromagnetic interference intensity in ship equipment compartments characterizes the electromagnetic environment intensity of the equipment compartments and reflects the degree of interference to the communication and electrical signals of the photovoltaic energy storage system. b1, b2, and b3 are preset weighting coefficients; Using the current spatiotemporal node as the end point of the window, a sliding window for environmental stress assessment is set, and the comprehensive marine environmental impact factors corresponding to each spatiotemporal node within the assessment window are collected. The standard deviation KB, peak value KF, and average value KJ of the comprehensive impact factor of the marine environment within the sliding window of the environmental stress assessment were calculated, and the comprehensive environmental stress assessment value KGF was obtained using the formula: KGF=KB×d1+KF×d2+KJ×d3. A preset environmental stress comprehensive assessment threshold is established. If the environmental stress comprehensive assessment value is greater than or equal to the corresponding preset threshold, an adjustment action for the environmental stress-adaptive photovoltaic grid absorption rate threshold is triggered, specifically as follows: The photovoltaic power absorption rate target threshold corresponding to the current spatiotemporal conditions in the photovoltaic power storage regulation parameter acquisition module is extracted. And using the formula: The target threshold for photovoltaic grid integration rate optimized under environmental stress was obtained. This threshold is used as the dynamic photovoltaic (PV) absorption rate scheduling threshold under the current time and space conditions to execute PV-storage coordinated scheduling operations. The aim is to reduce the frequency of energy storage charging and discharging, lower the operating load of equipment in harsh environments, and achieve a balance between PV absorption efficiency and equipment safety operation levels, especially in scenarios with high levels of integrated marine environmental stress. This is the preset correction factor; Furthermore, the higher the comprehensive environmental stress assessment value, the lower the target threshold for the environmental stress-optimized photovoltaic absorption rate, indicating that the current marine environmental stress is more severe and the equipment faces higher risks of chemical corrosion, mechanical vibration, electromagnetic interference, etc. It is necessary to adopt a more conservative photovoltaic absorption strategy, further reduce the frequency of energy storage charging and discharging, strictly control the equipment operating load, minimize the damage of harsh environment to photovoltaic energy storage system, and ensure a balance between power supply stability and equipment safety. The insulation monitoring instrument and battery management system (BMS) collect parameters of the shipborne photovoltaic and energy storage equipment, such as the insulation resistance of the line and the temperature of the energy storage battery under the current time and space. Based on the technical parameters of the equipment and the ship design standards, the rated insulation resistance of the line and the maximum withstand temperature of the battery are obtained, and the collected parameters are normalized and dimensionless. Using the formula: To obtain the device failure probability in the current time and space. ; in, The insulation resistance of the photovoltaic-storage system circuit characterizes the quality of the circuit insulation performance and reflects the leakage risk of the electrical circuit. The rated insulation resistance of the photovoltaic-storage system circuit is a benchmark value characterizing the insulation performance of the circuit design. The temperature of the energy storage battery characterizes the battery's operating thermal state and reflects the risk of thermal runaway. The safe temperature of an energy storage battery represents the upper limit of the battery's normal operating temperature. The maximum tolerable temperature of an energy storage battery is the limit temperature at which the battery will not experience thermal runaway. c1, c2, and c3 are preset weighting coefficients; Preset fault probability warning threshold and fault probability emergency threshold; If the equipment failure probability of the shipborne photovoltaic and energy storage system is between the preset failure probability warning threshold and the failure probability emergency threshold under the current time and space, a low-risk warning is triggered, and a low-risk warning signal is generated and sent to the personnel terminal and the photovoltaic and energy storage power collaborative scheduling module. The personnel terminal alerts maintenance personnel to pay attention to the equipment status through audible and visual alarms, and simultaneously displays the current environment and equipment parameter details; Obtain the rated power of energy storage in the current time and space. Energy storage charging and discharging power in the previous regulation cycle And preset the charging and discharging power fluctuation limit coefficient. By increasing the rated power of energy storage With volatility limit coefficient By performing multiplication calculations, the upper limit of the power fluctuation constraint is obtained. ;Right now: ; The energy storage charging and discharging power adjusted this time Energy storage charging and discharging power compared to the previous regulation cycle The absolute value of the difference is limited to the upper limit of the power fluctuation constraint. Within this range, efforts should be made to avoid additional losses to photovoltaic and energy storage equipment under environmental stress caused by sudden power fluctuations, while maintaining the target threshold for dynamic photovoltaic grid integration. The power balance derivation logic and the scheduling priority of photovoltaic consumption → energy storage supplementation → fuel oil backup remain unchanged to ensure supply and demand matching and power supply stability. If the probability of equipment failure corresponding to the shipborne photovoltaic and energy storage system equipment is greater than or equal to the preset emergency threshold for failure probability under the current time and space, a high-risk warning will be triggered, and a high-risk warning signal will be generated and sent to the personnel terminal and the photovoltaic and energy storage power collaborative scheduling module. The personnel terminal notifies maintenance personnel to investigate immediately through strong audible and visual alarms and push notifications, and simultaneously displays the fault-related parameter types. The photovoltaic-oil storage power coordinated scheduling module performs the following operation: stops the energy storage charging and discharging power. Dynamic control operation, enabling =0; The backup power supply mode of the fuel-fired generator is activated, and the power supply is allocated according to the preset core load power supply priority table. That is, the total photovoltaic output power is based on the maximum allowable photovoltaic output corresponding to the dynamic photovoltaic absorption rate safety benchmark value, and is allocated to each core load in sequence according to the core load power supply priority table until the total photovoltaic output power is exhausted; the part that is insufficient to meet the total power supply demand of the core loads is supplemented by the output power of the fuel-fired generator; at the same time, the dynamic photovoltaic absorption rate target threshold is set. The power supply is reduced to the preset safety baseline value, retaining only the basic power supply required for the core load. This state continues until maintenance personnel provide feedback on troubleshooting.

[0023] It should be noted that by collecting marine-specific environmental stress data such as salt spray concentration, ship turbulence amplitude, and electromagnetic interference intensity, and constructing an environmental stress assessment sliding window, the comprehensive impact of the environment on the equipment can be quantified, and then the target threshold for dynamic photovoltaic absorption rate can be dynamically adjusted—the more severe the environmental stress, the more conservative the threshold, reducing the frequency of energy storage charging and discharging and the operating load, avoiding excessive wear and tear on the equipment in the harsh environment of chemical corrosion, mechanical vibration, and electromagnetic interference, extending the service life of the system, and solving the problem that traditional protection is not specifically adapted to the marine environment; By combining comprehensive marine environmental impact factors with equipment parameters such as line insulation resistance and energy storage battery temperature, the probability of failure is quantitatively calculated, and low- and high-risk early warning thresholds are clearly defined to avoid the traditional "one-size-fits-all" alarm mode. In the case of low risk, the fluctuation of energy storage charging and discharging power is limited to prevent power surges from aggravating equipment damage. In the case of high risk, the backup power supply of fuel is switched immediately, the dynamic regulation of energy storage is stopped, and the power supply of core loads is prioritized. The system shifts from "passive repair" to "proactive early warning + hierarchical prevention and control" to eliminate safety hazards such as leakage and battery thermal runaway. When a high-risk warning is issued, the maximum allowable output of photovoltaic power is allocated according to the priority of core loads, and the insufficient part is supplemented by fuel generators. At the same time, the target threshold of dynamic photovoltaic absorption rate is lowered to a safe benchmark value, ensuring only basic power supply needs. This avoids the expansion of the fault and ensures that critical navigation equipment (such as navigation and communication) is not interrupted, balancing "safety loss prevention" and "core demand guarantee". By synchronizing environmental data, failure probability, and early warning signals to the photovoltaic-oil storage power collaborative scheduling module, the scheduling strategy is not only based on supply and demand parameters, but also incorporates environmental safety constraints. For example, in harsh environments, the scheduling priority is indirectly affected by adjusting the absorption threshold. The original scheduling logic is maintained when the risk is low, and emergency power supply scheduling is triggered when the risk is high. This forms a closed loop of "parameter acquisition - scheduling execution - safety early warning - strategy optimization", making the entire system more resilient. By using audible and visual alarms and pushing information to synchronize environmental and fault-related parameters, the system helps maintenance personnel accurately locate problems (such as decreased insulation resistance caused by salt spray corrosion or abnormal battery temperature caused by turbulence), avoiding blind troubleshooting. The hierarchical control mechanism also reduces unnecessary downtime or emergency operations, lowers the workload of maintenance and the risk of flight interruption, and improves the convenience of system maintenance.

[0024] A method for coordinated regulation and control of photovoltaic and energy storage includes the following steps: Step 1: Collect multi-source data on the shipborne photovoltaic and energy storage operating conditions, construct a multi-source dataset, predict the total photovoltaic output, analyze the target threshold of dynamic photovoltaic absorption rate, energy storage state of charge, fuel generator start-stop threshold, actual photovoltaic absorption power, photovoltaic absorption rate, and power supply gap, and form a set of core parameters for shipborne photovoltaic and energy storage coordinated regulation. Step 2: Obtain the core parameters of shipborne photovoltaic-storage coordinated regulation, determine whether the energy storage charging adaptation conditions, energy storage charging and discharging capacity, and power supply gap have reached the economic threshold for starting the fuel generator, predict the output trend in combination with the total photovoltaic output forecast, and trigger the three-level energy dispatch according to the principle of photovoltaic priority consumption, energy storage supplementation, and fuel backup. Step 3: Collect marine environmental data and analyze the comprehensive impact factors of the marine environment, construct a sliding window for environmental stress assessment, analyze the comprehensive environmental stress assessment value, adjust the target threshold for dynamic photovoltaic absorption rate, collect parameters of shipborne photovoltaic and energy storage equipment, and combine the comprehensive impact factors of the marine environment to analyze the probability of equipment failure, determine the risk warning level, implement power fluctuation limiting control when the risk is low, and implement emergency power supply control when the risk is high.

[0025] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A photovoltaic and energy storage coordinated control and management platform, characterized in that, include: Shipborne photovoltaic and energy storage regulation parameter acquisition module: Collects multi-source data on shipborne photovoltaic and energy storage operating conditions, constructs multi-source datasets, predicts the total photovoltaic output, analyzes the target threshold of dynamic photovoltaic absorption rate, energy storage state of charge, fuel generator start-stop threshold, actual photovoltaic absorption power, photovoltaic absorption rate, and power supply gap, and forms a set of core parameters for shipborne photovoltaic and energy storage coordinated regulation. Photovoltaic-storage-oil power coordinated scheduling module: acquires the core parameters of shipborne photovoltaic-storage coordinated regulation, determines the energy storage charging adaptation conditions, energy storage charging and discharging capacity, and whether the power supply gap reaches the economic threshold for starting the oil generator. Combined with the predicted value of total photovoltaic output, it predicts the output trend and triggers three-level energy scheduling according to the principles of photovoltaic priority consumption, energy storage supplementation, and oil backup. Marine environment early warning and control module: Collects marine environment data, analyzes comprehensive marine environment impact factors, constructs a sliding window for environmental stress assessment, analyzes comprehensive environmental stress assessment values, adjusts the target threshold for dynamic photovoltaic absorption rate, collects parameters of shipborne photovoltaic and energy storage equipment, and analyzes equipment failure probability in conjunction with comprehensive marine environment impact factors to determine risk warning level. When the risk is low, power fluctuation limiting control is implemented, and when the risk is high, emergency power supply control is implemented.

2. The photovoltaic and energy storage coordinated control and management platform according to claim 1, characterized in that: The specific process for predicting the total photovoltaic power output is as follows: Acquire multi-source data for shipborne photovoltaic and energy storage operation monitoring. This multi-source data includes: total photovoltaic output power, real-time ship load power, initial state of charge of energy storage, rated capacity of energy storage, speed, sea state, unit cost of fuel oil power generation, and cost of energy storage charging and discharging losses. For each piece of multi-source data, a spatiotemporal label containing timestamps and ship position coordinates is associated. Data preprocessing is performed simultaneously to construct a structured multi-source dataset with associated spatiotemporal labels. The total photovoltaic power output corresponding to a continuous spatiotemporal acquisition cycle with a preset number of historical samples is extracted from this dataset. A photovoltaic power output prediction model is constructed using a linear regression model to predict the total photovoltaic power output at the ship position corresponding to the next acquisition cycle.

3. The photovoltaic and energy storage coordinated control and management platform according to claim 2, characterized in that: The specific process for analyzing the target threshold for dynamic photovoltaic absorption rate, the state of charge of energy storage, and the start-stop threshold for fuel generators is as follows: The real-time ship speed and sea state level under the current time and space are obtained, and a comprehensive analysis is performed in combination with the preset threshold of the benchmark absorption rate and the preset influence coefficient to obtain the target threshold of the dynamic photovoltaic absorption rate. The unit cost of fuel-fired power generation, the cost of energy storage charging and discharging losses, and the rated capacity of energy storage are obtained. Combined with a preset control cycle, a comprehensive analysis is conducted to obtain the start-stop threshold of the fuel-fired generator. Based on the initial state of charge of the energy storage and the charging and discharging power of the energy storage in the previous control cycle, combined with the rated capacity of the energy storage, the state of charge of the energy storage is calculated by integration.

4. The photovoltaic and energy storage coordinated control and management platform according to claim 3, characterized in that: The specific process for analyzing the actual photovoltaic power absorption capacity, photovoltaic absorption rate, and power supply gap is as follows: The system acquires the total photovoltaic output power, real-time ship load power, real-time energy storage state of charge, preset maximum safe state of charge of energy storage, and rated energy storage capacity under the current time and space conditions, and performs comprehensive analysis to obtain the actual photovoltaic power consumption. Based on the actual photovoltaic power absorbed and the total photovoltaic output power in the current time and space, a comprehensive analysis is performed to obtain the photovoltaic absorption rate; Based on the real-time load power of ships under the current time and space conditions and the actual photovoltaic power absorption capacity obtained, a comprehensive analysis is performed to determine the power supply gap; By integrating the current forecast of total photovoltaic output, the target threshold of dynamic photovoltaic absorption rate, the state of charge of energy storage, the start-stop threshold of fuel generator, the actual photovoltaic absorption power, the photovoltaic absorption rate, and the power supply gap, a set of core parameters for shipborne photovoltaic-energy storage coordinated regulation is formed.

5. The photovoltaic and energy storage coordinated control and management platform according to claim 4, characterized in that: The specific process for determining the compatibility of energy storage charging and the energy storage charging and discharging capacity is as follows: The photovoltaic absorption rate under the current time and space is obtained and compared with the target threshold of dynamic photovoltaic absorption rate. If the photovoltaic absorption rate is lower than the target threshold of dynamic photovoltaic absorption rate, it is determined that the photovoltaic absorption is not sufficient and the conditions for energy storage charging are met. Obtain the current state of charge of the energy storage in the current time and space, and compare it with the preset maximum safe state of charge and the preset minimum safe state of charge of the energy storage. If the state of charge of the energy storage is lower than the preset maximum safe state of charge of the energy storage, it is determined that the energy storage has the ability to be charged. If the energy storage state of charge is higher than the preset minimum safe state of charge, then the energy storage is determined to have discharge capability.

6. The photovoltaic and energy storage coordinated regulation and management platform according to claim 5, characterized in that: The specific process for determining whether the power supply gap has reached the economic threshold for starting fuel-fired generators, and for predicting the power output trend based on the total photovoltaic power output forecast, is as follows: The power supply gap and the start-stop threshold of the fuel generator under the current time and space are obtained and compared. If the power supply gap is higher than the start-stop threshold of the fuel generator, it is determined that the power supply gap has reached the economic threshold for starting the fuel generator. The photovoltaic power output forecast for the next cycle is obtained and compared with the total photovoltaic power output in the current time and space. If the photovoltaic power output forecast for the next cycle is higher than the current total photovoltaic power output, it is predicted that the photovoltaic power output will increase; if the photovoltaic power output forecast for the next cycle is lower than the current total photovoltaic power output, it is predicted that the photovoltaic power output will decrease; if the two are equal, it is predicted that the photovoltaic power output will remain stable.

7. The photovoltaic and energy storage coordinated control and management platform according to claim 6, characterized in that: The specific process of triggering a three-tiered energy dispatch system based on the principles of priority photovoltaic power consumption, energy storage supplementation, and fuel oil backup is as follows: If the current spatiotemporal photovoltaic absorption rate is lower than the dynamic photovoltaic absorption rate target threshold and the energy storage state of charge is lower than the preset maximum safe state of charge for energy storage, priority 1 is triggered, specifically: Derive the energy storage charging power and regulate the charging of the energy storage system; If the predicted photovoltaic output for the next cycle is higher than the current total photovoltaic output, the preset maximum safe state of charge of energy storage will be temporarily increased by the preset relaxation ratio during charging. If priority 1 is not met, and the power supply gap is positive and the energy storage state of charge is higher than the preset minimum safe state of charge for energy storage, priority 2 will be triggered, specifically as follows: Derive the energy storage discharge power and regulate the discharge of the energy storage system to make up for the power supply gap; If, under this power shortage scenario, the predicted photovoltaic output value for the next cycle is lower than the current total photovoltaic output power, the discharge power will be increased in advance according to the preset power amplification range, and the maximum discharge power will not exceed the maximum discharge power of the current remaining energy storage capacity corresponding to a single control cycle. If neither priority 1 nor 2 conditions are met, and the power supply shortfall is higher than the fuel generator start-stop threshold and the energy storage state of charge is equal to the preset minimum safe state of charge for energy storage, priority 3 will be triggered, specifically: Derive the output power of the fuel generator, start the fuel generator and adjust its output power to equal the power supply gap; If the predicted photovoltaic output for the next cycle is higher than the current total photovoltaic output in this scenario, a gradual shutdown strategy is set, and the output power of the fuel generator is reduced by a preset reduction ratio in each control cycle until its output power is zero. After the scheduling is completed, the photovoltaic absorption rate, fuel generator output power, energy storage state of charge, and power supply gap of this regulation will be synchronized to the structured dataset.

8. The photovoltaic and energy storage coordinated control and management platform according to claim 7, characterized in that: The specific process of collecting marine environmental data, analyzing comprehensive marine environmental impact factors, constructing a sliding window for environmental stress assessment, analyzing comprehensive environmental stress assessment values, and adjusting the target threshold for dynamic photovoltaic absorption rate is as follows: The salt spray concentration, hull turbulence amplitude, and electromagnetic interference intensity of the ship's equipment compartments are obtained at the current time and space. After normalization and dimensionless processing, they are combined with preset weight coefficients for comprehensive analysis to obtain the comprehensive impact factor of the marine environment. A sliding window for environmental stress assessment is set with the current spatiotemporal node as the end point of the window. The comprehensive impact factors of the marine environment at each spatiotemporal node within the window are collected, and their standard deviation, peak value, and average value are calculated. Combined with the corresponding preset coefficients, a comprehensive analysis is performed to obtain the comprehensive environmental stress assessment value. If the comprehensive environmental stress assessment value reaches the corresponding preset threshold, the target threshold of dynamic photovoltaic absorption rate under the current time and space is extracted, and the target threshold of environmental stress optimized photovoltaic absorption rate is calculated in combination with the preset correction coefficient. This target threshold is then used as the dynamic photovoltaic absorption rate scheduling threshold under the current time and space, and photovoltaic-storage coordinated scheduling operation is executed.

9. The photovoltaic and energy storage coordinated control and management platform according to claim 8, characterized in that: The specific process of analyzing equipment failure probability, determining risk warning level, implementing power fluctuation limiting control when the risk is low, and implementing emergency power supply control when the risk is high is as follows: The insulation resistance of the line and the temperature of the energy storage battery of the shipborne photovoltaic energy storage system are collected. The rated insulation resistance of the line and the maximum withstand temperature of the battery are obtained. After normalizing and dimensionless processing of the above parameters, a comprehensive analysis is performed in combination with preset weighting coefficients to obtain the probability of equipment failure. The system presets a fault probability warning threshold and a fault probability emergency threshold. When the equipment fault probability is between the two, a low-risk warning is triggered, and a signal is generated and sent to the personnel terminal and the photovoltaic-storage-oil power collaborative scheduling module. The personnel terminal issues an audible and visual alarm and displays relevant parameters. At the same time, the product of the energy storage rated power and the charging and discharging power fluctuation limit coefficient is calculated as the upper limit of the power fluctuation constraint. This limits the absolute value of the difference between the energy storage charging and discharging power in the current and previous control cycles to be within the upper limit of the constraint, maintaining the original dynamic photovoltaic absorption rate target threshold and scheduling priority. When the probability of equipment failure reaches or exceeds the emergency threshold, a high-risk warning is triggered, a signal is generated and sent to relevant terminals, personnel terminals issue strong audible and visual alarms and push information, the photovoltaic-oil storage power collaborative scheduling module stops the dynamic control of energy storage charging and discharging, the fuel generator is started for backup power supply, the maximum allowable output of photovoltaic is allocated according to the core load priority, the insufficient part is supplemented by the fuel generator, the dynamic photovoltaic absorption rate target threshold is lowered to the preset safety benchmark value, and this state continues until the operation and maintenance personnel report that the fault has been resolved.

10. A photovoltaic and energy storage coordinated regulation and control method, applied to the photovoltaic and energy storage coordinated regulation and control management platform proposed in any one of claims 1-9, characterized in that, Includes the following steps: Step 1: Collect multi-source data on the shipborne photovoltaic and energy storage operating conditions, construct a multi-source dataset, predict the total photovoltaic output, analyze the target threshold of dynamic photovoltaic absorption rate, energy storage state of charge, fuel generator start-stop threshold, actual photovoltaic absorption power, photovoltaic absorption rate, and power supply gap, and form a set of core parameters for shipborne photovoltaic and energy storage coordinated regulation. Step 2: Obtain the core parameters of shipborne photovoltaic-storage coordinated regulation, determine whether the energy storage charging adaptation conditions, energy storage charging and discharging capacity, and power supply gap have reached the economic threshold for starting the fuel generator, predict the output trend in combination with the total photovoltaic output forecast, and trigger the three-level energy dispatch according to the principle of photovoltaic priority consumption, energy storage supplementation, and fuel backup. Step 3: Collect marine environmental data and analyze the comprehensive impact factors of the marine environment, construct a sliding window for environmental stress assessment, analyze the comprehensive environmental stress assessment value, adjust the target threshold for dynamic photovoltaic absorption rate, collect parameters of shipborne photovoltaic and energy storage equipment, and combine the comprehensive impact factors of the marine environment to analyze the probability of equipment failure, determine the risk warning level, implement power fluctuation limiting control when the risk is low, and implement emergency power supply control when the risk is high.

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