A typhoon-resistant and reliable power supply system for a pure electrified unit cage

Abstract

The application belongs to the technical field of power supply management of marine culture, and discloses a pure electric unit net cage anti-typhoon reliable power supply system; the system comprises the following steps: classifying loads to obtain power supply priorities; when a typhoon warning is triggered, the available energy of energy storage in the pure electric unit net cage is frozen according to a preset minimum energy threshold; real-time collection of operation state data is combined with the minimum energy threshold to dynamically predict a maintenance duration; the power supply strategy of different loads is intelligently adjusted according to the maintenance duration and the power supply priorities, and the flexible load in the load is subjected to a downshift operation; the available energy of energy storage is dynamically scheduled based on the power supply strategy and the downshift operation result; and the wind and light power generation window is intelligently captured to supplement the available energy of energy storage in the pure electric unit net cage; the application realizes high-reliable power supply under extreme weather, guarantees the continuous operation of key loads, and thus improves the monitoring and data communication capacity of marine culture.

Description

Technical Field

[0001] This invention relates to the field of marine aquaculture power supply management technology, and more specifically, to a typhoon-resistant and reliable power supply system for a fully electrified unit cage. Background Technology

[0002] As marine aquaculture expands into deep-sea areas, fully electrified unit cages are widely used as a new type of intelligent aquaculture equipment. These cages rely entirely on wind power, photovoltaic power, and energy storage for power supply, achieving zero-emission green aquaculture. However, when extreme weather events such as typhoons occur, the power generation capacity of wind and solar power is significantly reduced, and the energy storage capacity is rapidly consumed, leading to power outages for critical loads such as AIS (Automatic Identification System), monitoring cameras, and communication base stations, which seriously affects the safety monitoring and data communication of the fully electrified unit cages.

[0003] In existing technologies, pure electric unit cages lack systematic load classification management and critical load priority protection mechanisms. Existing systems typically manage loads based on total power or simple SOC (State of Charge), failing to differentiate the importance of different loads. Furthermore, they lack the ability to dynamically schedule available energy storage based on real-time operating status, and cannot adjust power supply strategies in a timely manner to extend the power supply time for critical loads. This leads to power outages for critical loads such as AIS, surveillance cameras, and communication base stations, thereby affecting the safety monitoring, positioning, and communication functions of the pure electric unit cages. In addition, the utilization efficiency of wind and solar resources in existing systems is low, failing to fully capture the generation opportunities during typhoon breaks or wind and solar change windows, resulting in insufficient energy storage replenishment. This further reduces the reliability and autonomous survivability of pure electric unit cages under extreme weather conditions.

[0004] In view of this, the present invention proposes a typhoon-resistant and reliable power supply system for a fully electrified unit cage to solve the above problems. Summary of the Invention

[0005] To overcome the aforementioned deficiencies of the prior art and to achieve the above objectives, the present invention provides the following technical solution: a typhoon-resistant and reliable power supply system for a purely electrified unit cage, comprising:

[0006] The load classification module is used to classify the electrical loads in the pure electrification unit cage and obtain the power supply priority of each electrical load.

[0007] The capacity protection module is used to freeze the available energy stored in the pure electric unit cage according to the preset minimum energy threshold when a typhoon warning is triggered.

[0008] The duration prediction module is used to collect energy storage information, load information and wind and solar availability in real time to form operation status data. Based on the operation status data and the minimum energy threshold, the module dynamically predicts the duration of operation.

[0009] The scheduling and execution module is used to intelligently adjust the power supply strategy of different power loads according to the maintenance duration and power supply priority, and to perform downgrading operation on the elastic loads within the power loads. Based on the power supply strategy and downgrading operation results, the available energy of energy storage is dynamically scheduled.

[0010] The wind-solar synergy module is used to detect typhoon periods, continuously collect wind and solar availability data during typhoon periods, intelligently capture wind and solar power generation windows based on wind and solar availability data, and use these windows to supplement the energy storage available energy of the pure electrified unit grid box.

[0011] Furthermore, the load classification of each electrical load within the pure electrified unit enclosure includes:

[0012] The historical power data of each electrical load is obtained sequentially. The historical power data includes the continuous power data of the electrical load up to the current time. Instantaneous power varying over time within a day;

[0013] Within each set of historical power data, the instantaneous power on the same day is grouped into a power set, thus obtaining the corresponding power data for each set of historical power data. Group power sets; calculate the operating percentage of each power set, and calculate the average operating percentage of each historical power set to obtain the average operating percentage of each electrical load;

[0014] The functional importance of each electrical load is obtained, and weighting coefficients for the mean operation and functional importance are calculated separately. Based on these weighting coefficients, the mean operation and functional importance of each electrical load are weighted to obtain the task criticality of each electrical load. According to a preset threshold set and the task criticality of each electrical load, each electrical load is divided into different power supply priorities. The power supply priorities are: indivual.

[0015] Furthermore, the energy storage information includes available energy and state of charge; the load information includes historical power data and real-time power for each electrical load.

[0016] The steps for dynamically predicting duration of maintenance include:

[0017] Step S1: Based on the real-time collected operating status data, predict the operating status data at the next moment and mark it as future status data;

[0018] Step S2: Obtain the depth of discharge limit and calculate the minimum state of charge in real time based on the depth of discharge limit and the minimum energy threshold;

[0019] Step S3: Compare the state of charge in the future state data with the minimum state of charge to determine whether the pure electrified unit cage has reached the minimum safety reserve;

[0020] Step S4: If the minimum safety reserve is not reached, predict the future state data at the next moment based on the future state data, and return to step S3; if the minimum safety reserve is reached, proceed to step S5.

[0021] Step S5: Mark the time corresponding to the last predicted future state data as the final time, and obtain the duration of maintenance based on the time span between the current time and the final time.

[0022] Furthermore, in step S1, the content of predicting the operating state data for the next moment includes:

[0023] Each set of historical power data is input into the corresponding trained load prediction model to predict the instantaneous power of each electrical load at the next moment; based on the instantaneous power predicted by all load prediction models, future load information is constructed.

[0024] Collect short-term meteorological data, and input the short-term meteorological data and the wind and solar availability data from the operational status data into the trained wind and solar prediction model to predict the wind and solar availability at the next moment and mark it as future availability.

[0025] Based on the real-time power in the operating status data, calculate the total load power, and combine the available energy of energy storage and the availability of wind and solar power to calculate the available energy of energy storage at the next moment, and mark it as the future available energy; based on the future available energy, the available energy of energy storage and the state of charge, calculate the state of charge at the next moment, and mark it as the future state of charge.

[0026] Future state data is constructed based on future load information, future availability, future available energy, and future state of charge.

[0027] Furthermore, in step S2, the real-time calculation of the minimum state of charge includes:

[0028] Calculate the minimum state of charge based on the depth of discharge limit; calculate the remaining state of charge based on the minimum energy threshold; calculate the sum of the minimum state of charge and the remaining state of charge to obtain the minimum state of charge.

[0029] Furthermore, the content of intelligently adjusting the power supply strategy for different electrical loads includes:

[0030] Based on the future load information at each moment within the maintenance period, calculate the average power of each electrical load; construct a priority set corresponding to each power supply priority, and calculate the power demand of each priority set in turn based on the average power of each electrical load;

[0031] Calculate the available power supply energy based on the future available energy at the final moment and the available energy storage energy at the current moment; calculate the required duration for each priority set based on the available power supply energy and the power demand for each priority set; preset a safety margin coefficient and, in conjunction with the required duration for each priority set, calculate the safe duration for each priority set.

[0032] The expected number of consecutive days of power supply is obtained, and the safe duration corresponding to each priority set is compared with the expected number of consecutive days of power supply. Based on the comparison results, the power supply strategy for different power loads is intelligently adjusted. The power supply strategy includes full supply, load limiting, rotating supply, and disconnection.

[0033] Furthermore, the content of intelligently adjusting the power supply strategy for different electrical loads based on the comparison results includes:

[0034] Sort all priority sets in ascending order of their corresponding safe duration to generate a duration sequence; add the expected number of consecutive days of power supply to the duration sequence, and mark the priority set that is one position ahead of the expected number of consecutive days of power supply as the adjustment set;

[0035] If the power supply priority corresponding to the set is adjusted to the first The power supply priority will be the first one. The power supply strategy for the applied electrical load corresponding to the first power supply priority is adjusted to load limiting, and the power supply strategy for the second priority is adjusted to load limiting. The power supply strategy for the applied electrical load corresponding to the first power supply priority is adjusted to round-robin supply, and the power supply strategy for the second priority is adjusted to round-robin supply. The first to the second The power supply strategy for all power supply priorities corresponding to the applied electrical loads is adjusted to disconnect. .

[0036] Furthermore, the process of downgrading the load for flexible loads within the electrical load includes:

[0037] When the priority set that is last in the long sequence is marked as the adjustment set, the target available power is calculated based on the available power supply energy; based on the average power of each elastic load, the power ratio of each elastic load is calculated in turn, and combined with the target available power, the available power of each elastic load is calculated; the ratio of the available power of each elastic load to the corresponding average power is calculated in turn to obtain the downgrade coefficient of each elastic load.

[0038] If the downgrade factor is greater than or equal to 1, no downgrade operation is performed on the corresponding elastic load; if the downgrade factor is less than 1, the downgrade level corresponding to each elastic load is matched according to the downgrade factor of each elastic load; and the downgrade operation is performed on each elastic load in turn according to the downgrade level of each elastic load.

[0039] Furthermore, the dynamic scheduling of available energy storage based on power supply strategies includes:

[0040] Label the loads with a full power supply strategy as full power supply loads, label the loads with a load-limited power supply strategy as load-limited loads, and label the loads with a rotating power supply strategy as rotating power supply loads; obtain the time interval between two moments and label it as the time span; calculate the full power supply energy based on the real-time power of all full power supply loads and the time span;

[0041] From the preset load classification set, obtain the classification criteria corresponding to the power supply priority of the power supply strategy of rotating supply, and classify all rotating supply loads according to the classification criteria to obtain multiple rotating supply sets; calculate the total power supply of each rotating supply set in turn, and calculate the average of all rotating supply total power to obtain the real-time power supply; calculate the product of the real-time power supply and the time span to obtain the rotating supply energy.

[0042] Based on the available power supply energy and the expected number of consecutive power supply days, calculate the daily available energy, and combine the rotating supply energy and the full supply energy to calculate the load-limited energy; based on the real-time power and time span of each load-limited load, calculate the energy demand of each load-limited load, and calculate the sum of all energy demands to obtain the load-limited demand energy; based on the energy demand of each load-limited load, the load-limited demand energy, and the load-limited energy, calculate the dispatch energy of each load-limited load.

[0043] All fully supplied loads and rotating loads that provide power are marked as power supply loads, and the real-time energy of each power supply load is calculated. Based on the real-time energy of each power supply load and the scheduling energy of each load-limited load, the available energy of energy storage is dynamically scheduled.

[0044] Furthermore, the content of the intelligent capture window for wind and solar power generation includes:

[0045] Each future availability time is marked as a future time. The future availability in each set of future state data is obtained and sorted from earliest to latest according to the corresponding future time to generate an availability sequence. The corresponding previous availability is subtracted from each future availability in the availability sequence to obtain the availability difference for each future time. The ratio of each availability difference to the time span is calculated to obtain the wind and light change rate for each future time. Each wind and light change rate is compared with a preset change threshold, and future times with a wind and light change rate greater than the change threshold are marked as candidate times.

[0046] Among all candidate times, consecutive candidate times are grouped into a time set; the number of candidate times in each time set is counted and marked as the candidate quantity; each candidate quantity is compared with a preset quantity threshold, and the time set with a candidate quantity greater than the quantity threshold is taken as the candidate power generation window;

[0047] When the current moment is at the start of a candidate power generation window, real-time wind and solar availability and short-term meteorological data are collected, and the future availability at the next moment is predicted. Based on the real-time wind and solar availability and the future availability at the next moment, the wind and solar change rate at the current moment is calculated. If the wind and solar change rate at the current moment is greater than the change threshold, the corresponding candidate power generation window is taken as the wind and solar power generation window.

[0048] The technical effects and advantages of the typhoon-resistant reliable power supply system of the pure electrified unit cage of the present invention are as follows:

[0049] By implementing hierarchical management of electrical loads, the system ensures continuous power supply to critical loads (such as AIS, surveillance cameras, and communication base stations) during typhoons, thereby guaranteeing the core functions and safety monitoring capabilities of the pure electrified unit cages. Based on dynamically predicted energy storage duration and intelligent power supply strategy adjustments, the system maximizes power supply duration with limited energy storage capacity, improving the power supply reliability and self-survival capabilities of the pure electrified unit cages under extreme weather conditions. Simultaneously, by intelligently capturing wind and solar power generation windows and adjusting wind and solar power equipment in real time, the system effectively improves the utilization efficiency of wind and solar power, fully utilizing renewable energy to provide continuous power for energy storage replenishment. Through the comprehensive application of technologies such as load hierarchical management, dynamic energy dispatch, and wind and solar resource optimization, the system achieves highly reliable power supply under extreme weather conditions, ensuring the continuous operation of critical loads, enhancing marine aquaculture monitoring and data communication capabilities, effectively utilizing renewable energy, and strengthening the system's self-survival capabilities. Attached Figure Description

[0050] Figure 1 This is a schematic diagram of a typhoon-resistant reliable power supply system for a pure electrified unit cage according to Embodiment 1 of the present invention. Detailed Implementation

[0051] 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.

[0052] Example 1

[0053] Please see Figure 1 As shown in the figure, the pure electrified unit cage typhoon-resistant reliable power supply system described in this embodiment includes a load classification module, a capacity guarantee module, a duration prediction module, a scheduling execution module, and a wind-solar synergy module; each module is connected through wired and / or wireless means to realize data transmission between modules.

[0054] The load classification module is used to classify the electrical loads in the pure electrification unit cage and obtain the power supply priority of each electrical load.

[0055] The fully electrified unit cage is a large-scale aquaculture equipment used for fish farming in nearshore waters. It adopts a rectangular column-stabilized truss structure and achieves semi-submersible farming and self-sufficiency (i.e., autonomous survival ability under extreme sea conditions) through anchoring and positioning. The farming draft and the self-sufficiency draft are the same. The fully electrified aquaculture cage can be towed and moved in nearshore waters and can be maintained and repaired on-site at sea and returned to port. It has functions such as feed storage and feeding, cage monitoring, etc. It is equipped with aquaculture service support vessel to realize operations such as sinking and raising, feeding, fry release, adult fish harvesting, net cleaning, material supply, and dead fish collection. The fully electrified aquaculture cage is equipped with a green energy supply system consisting of wind turbines, photovoltaic panels and energy storage devices (i.e., energy storage batteries), which can achieve zero emissions in daily electricity consumption.

[0056] The content of load classification for each electrical load within the pure electrified unit enclosure includes:

[0057] The historical power data of each electrical load is sequentially obtained through the smart meters built into the pure electrified unit enclosure; the historical power data includes the continuous power consumption of the electrical load up to the current moment. Instantaneous power varying over time within a day It is an integer greater than 1;

[0058] Within each set of historical power data, the instantaneous power on the same day is grouped into a power set, thus obtaining the corresponding power data for each set of historical power data. Group power sets; count the number of instantaneous power values ​​greater than 0 in each power set and mark them as the number of operating values; count the number of instantaneous power values ​​in each power set and mark them as the total number of operating values; calculate the ratio of the number of operating values ​​to the total number of operating values ​​for each power set to obtain the operating percentage of each power set; calculate the average operating percentage of each power set based on the historical power data to obtain the average operating percentage for each electrical load.

[0059] The functional importance of each electrical load is obtained, and the weighting coefficients for the average operating value and functional importance are calculated separately. The functional importance of each electrical load is set by those skilled in the art based on factors such as its role in maintaining the core functions of the fully electrified unit cage, its necessity under extreme sea conditions, and the negative impact of load outages. The numerical range is [insert range here]. The greater the contribution of the electrical load to maintaining the core functions of the electrified unit cage, the greater its necessity under extreme sea conditions, and the more severe the negative impact of shutdown, the greater the functional importance of the electrical load. For example, communication base stations make a significant contribution to maintaining remote monitoring and alarm functions, and must continue to operate under extreme sea conditions. Shutdown will cause the electrified unit cage to lose its communication and alarm functions, so the functional importance of communication base stations is relatively high.

[0060] Based on weighting coefficients, the average operating value and functional importance of each electrical load are weighted and calculated to obtain the task criticality of each electrical load. According to a preset set of thresholds and the task criticality of each electrical load, each electrical load is divided into different power supply priorities. Among these, there are a total of [number missing] power supply priorities. One, including , For integers greater than 1, this embodiment preferably uses integers. The priority is 5; the power supply priority is the highest. The electrical loads of a device are considered critical loads, including but not limited to AIS, surveillance cameras, and communication base stations; the threshold set includes... Each priority threshold is preset by a person skilled in the art based on factors such as the task criticality distribution of each electrical load and the operation requirements of the pure electrified unit cage.

[0061] The calculation of the weighting coefficients for the operational mean and functional importance includes:

[0062] The load status of each electrical load during historical typhoons was collected and represented using a binary state; the load status includes operating status and failure status, and the binary state includes... and ,and The binary state corresponding to the running state is: The binary state corresponding to the failure state is In this embodiment, the preferred embodiment is... , The load status of the electrical load is also determined by the smart meter. When the smart meter detects that the instantaneous power of the electrical load is greater than 0, it is determined to be in the running state. When the smart meter detects that the instantaneous power of the electrical load is equal to 0, it is determined to be in the failure state.

[0063] Calculate the correlation between the binary state corresponding to the operating state and the mean operating value and functional importance of each electrical load, and label them as operating correlation and functional correlation respectively. Both operating correlation and functional correlation are point-to-two correlation coefficients, which are existing technologies, and the specific process will not be elaborated here. Calculate the sum of operating correlation and functional correlation to obtain the total correlation. Calculate the ratio of operating correlation to total correlation to obtain the weight coefficient of the mean operating value. Calculate the ratio of functional correlation to total correlation to obtain the weight coefficient of functional importance.

[0064] The capacity protection module is used to freeze the available energy stored in the pure electric unit cage according to a preset minimum energy threshold when a typhoon warning is triggered.

[0065] When the pure electric unit cage receives typhoon warning information sent by the shore-based management center, it triggers a typhoon warning. The shore-based management center refers to a remote monitoring and control center set up on land, which is used to remotely manage the pure electric unit cage. The shore-based management center obtains typhoon warning information and sends it to the pure electric unit cage by connecting with the API interface of local meteorological departments or third-party meteorological service providers (such as Hefeng Weather, Moji Weather, etc.).

[0066] The minimum energy threshold is preset by those skilled in the art based on the rated power of the critical load and the expected number of consecutive days of power supply, and the specific expression is as follows:

[0067] ;

[0068] In the formula, The minimum energy threshold, This is the rated power of AIS. This is the maximum number of surveillance cameras. The rated power of the surveillance camera, The rated power of the communication base station. This represents the minimum duty cycle of the communication base station. This refers to the expected number of consecutive days of power supply.

[0069] The expected number of consecutive days of power supply is preset by those skilled in the art based on the expected duration of the typhoon; the expected duration of the typhoon is estimated by those skilled in the art based on typhoon-related data collected by the shore-based management center through API calls from local meteorological departments or third-party meteorological service providers. Typhoon-related data includes, but is not limited to, the location of the typhoon center, its movement trajectory, the radius of its wind circle, and the warning level; the warning levels include red warning, orange warning, yellow warning, and blue warning.

[0070] The maximum number is predefined by those skilled in the art based on factors such as monitoring coverage requirements and security redundancy requirements, and the minimum duty cycle is predefined by those skilled in the art based on factors such as data transmission requirements and communication reliability.

[0071] Available energy storage refers to the total amount of electrical energy that is currently actually usable in the energy storage devices within the pure electrified unit grid.

[0072] It should be noted that the purpose of freezing the available energy storage based on the minimum energy threshold is to provide a "safety reserve" during typhoons, specifically to ensure the continuous power supply of critical loads in emergency situations, thereby ensuring the reliable operation of the core life support system of the pure electric unit cage.

[0073] The duration prediction module is used to collect energy storage information, load information and wind and solar availability in real time to form operation status data. Based on the operation status data and the minimum energy threshold, the module dynamically predicts the duration of operation.

[0074] Energy storage information includes available energy and state of charge (SOC). SOC represents the percentage of available energy in the pure electrified unit enclosure to the rated capacity of the battery. Rated capacity represents the total energy that the battery can store and release under standard operating conditions, and is used to measure the theoretical energy storage capacity of the battery. Both available energy and SOC are acquired in real time through the battery management system (BMS) built into the pure electrified unit enclosure.

[0075] Load information includes historical power data and real-time power for each electrical load; real-time power is the instantaneous power of the electrical load at the current moment.

[0076] Wind and solar availability is the available output power that wind turbines and photovoltaic panels can provide under current environmental conditions. It is used to measure the availability level of wind and solar resources at a specific moment. Wind and solar availability is obtained in real time through the energy management system (EMS) built into the pure electrified unit grid.

[0077] The steps for dynamically predicting duration of maintenance include:

[0078] Step S1: Based on the real-time collected operating status data, predict the operating status data at the next moment and mark it as future status data;

[0079] Step S2: Obtain the discharge depth limit of the energy storage device in the pure electrified unit cage, and calculate the minimum state of charge in real time based on the discharge depth limit and the minimum energy threshold;

[0080] Step S3: Compare the state of charge in the future state data with the minimum state of charge to determine whether the pure electrified unit cage has reached the minimum safety reserve;

[0081] Step S4: If the minimum safety reserve is not reached, predict the future state data at the next moment based on the future state data, and return to step S3; if the minimum safety reserve is reached, proceed to step S5.

[0082] Step S5: Mark the time corresponding to the last predicted future state data as the final time. Based on the time span between the current time and the final time, obtain the maintenance duration. The maintenance duration is used to reflect the total time during which the pure electrified unit cage can maintain the continuous operation of all electrical loads during the typhoon.

[0083] In step S1 above, the content of the predicted operating state data for the next moment includes:

[0084] Each set of historical power data is input into the corresponding trained load prediction model to predict the instantaneous power of each electrical load at the next moment; the instantaneous power predicted by all load prediction models constitutes the future load information; wherein, the load prediction model is an RNN neural network model, and the historical power data corresponds one-to-one with the load prediction model;

[0085] Short-term meteorological data is collected, and the short-term meteorological data and the wind and solar availability data in the operation status data are input into the trained wind and solar prediction model to predict the wind and solar availability at the next moment and mark it as future availability. The wind and solar prediction model is a deep neural network model. Both deep neural network models and RNN neural network models are existing technologies, and the specific training process will not be described in detail here.

[0086] For the operational status data, the sum of the real-time power corresponding to each electrical load is calculated to obtain the total load power; the time interval between two moments is obtained and marked as the time span; the time span is preset by those skilled in the art according to the actual situation; the product of the total load power and the time span is calculated to obtain the load energy consumption; the product of the wind and solar availability and the time span is calculated to obtain the wind and solar power generation energy; the available energy of energy storage is added to the wind and solar power generation energy, and then the load energy consumption is subtracted to obtain the available energy of energy storage at the next moment, and marked as future available energy; the product of the available energy of energy storage and the state of charge in the operational status data is calculated to obtain the battery rated capacity; the percentage between the future available energy and the battery rated capacity is calculated to obtain the state of charge at the next moment, and marked as the future state of charge;

[0087] Future state data is constructed based on future load information, future availability, future available energy, and future state of charge.

[0088] The short-term meteorological data includes real-time meteorological data and future meteorological data. Real-time meteorological data is the wind and solar meteorological data at the current moment, and future meteorological data is the wind and solar meteorological data corresponding to the next moment of the current moment. The wind and solar meteorological data includes wind-related data and photovoltaic-related data. Wind-related data includes, but is not limited to, wind speed, wind direction, temperature, and air pressure, which are used to predict the available output power of wind turbines. Photovoltaic-related data includes, but is not limited to, solar irradiance, cloud cover, and temperature, which are used to predict the available output power of photovoltaic panels. The wind and solar meteorological data are collected by the shore-based management center by calling the API of local meteorological departments or third-party meteorological service providers and then distributed to the pure electrified unit cage.

[0089] In step S2 above, the real-time calculation of the minimum state of charge includes:

[0090] The difference between 100% and the depth of discharge limit is used to obtain the minimum state of charge (MSC); the ratio of the minimum energy threshold to the battery's rated capacity is used to obtain the remaining state of charge (NSC); and the sum of the MSC and the NSC is used to obtain the minimum state of charge (MSC). The depth of discharge limit refers to the proportion of the maximum amount of electricity that the energy storage battery is allowed to release during a single discharge to the battery's rated capacity, which is obtained from the technical specifications provided by the energy storage battery manufacturer.

[0091] In step S3 above, determining whether the pure electrified unit cage has reached the minimum safety reserve includes:

[0092] The future state of charge is compared with the minimum state of charge; if the future state of charge is greater than the minimum state of charge, the pure electrified unit cage has not reached the minimum safety reserve; if the future state of charge is less than or equal to the minimum state of charge, the pure electrified unit cage has reached the minimum safety reserve.

[0093] In step S4 above, the content of predicting the future state data at the next moment based on the future state data is consistent with the content of predicting the operating state data at the next moment in step S1.

[0094] The scheduling and execution module is used to intelligently adjust the power supply strategy of different power loads according to the maintenance duration and power supply priority, and to perform downgrading operation on the elastic loads within the power loads. Based on the power supply strategy and downgrading operation results, the available energy of energy storage is dynamically scheduled.

[0095] The intelligent adjustment of power supply strategies for different electrical loads includes:

[0096] For all future load information within the maintenance period, the instantaneous power of the same electrical load is grouped into a power consumption set, with each power consumption set corresponding to a specific electrical load. The average power of each electrical load is calculated by averaging the instantaneous power within each power consumption set. A priority set is constructed for each power supply priority, and the power demand for each priority set is calculated based on the average power of each electrical load. Each priority set includes the corresponding power supply priority and all power supply priorities lower than the corresponding priority. For example, the power supply priority corresponding to each priority set is... There are four power supply priorities, therefore the priority set includes... , as well as The calculation of power demand for the priority set is as follows: obtain all power loads corresponding to the power supply priority of the priority set, mark them as calculation loads, calculate the sum of the average power of all calculation loads, and obtain the power demand.

[0097] Calculate the difference between the available energy storage at the current moment and the future available energy at the final moment to obtain the available power supply energy; calculate the ratio between the available power supply energy and the power demand corresponding to each priority set to obtain the demand duration corresponding to each priority set; among them, the demand duration corresponding to the priority set containing all power supply priorities (i.e. the priority set corresponding to the highest power supply priority) does not need to be calculated, and its value is equal to the maintenance duration.

[0098] A preset safety margin factor is set, and the range of values ​​for the safety margin factor is as follows: The time limit is preset by those skilled in the art based on the actual situation; the product of each demand duration and the safety margin coefficient is calculated to obtain the safety duration corresponding to each priority set.

[0099] The safe duration corresponding to each priority set is compared with the expected number of consecutive power supply days, and the power supply strategy for different power loads is intelligently adjusted according to the comparison results. The power supply strategy includes full supply (i.e., the power load is kept under normal power supply under any circumstances), load limiting (i.e., the power of the power load is limited), rotation supply (i.e., multiple power loads are supplied in sequence according to a set order), and cut-off (i.e., the power supply to the power load is stopped).

[0100] The content of intelligently adjusting the power supply strategy for different electrical loads based on the comparison results includes:

[0101] Sort all priority sets in ascending order of their corresponding safe duration to generate a duration sequence; add the expected number of consecutive days of power supply to the duration sequence, and mark the priority set that is one position ahead of the expected number of consecutive days of power supply as the adjustment set;

[0102] If the power supply priority corresponding to the set is adjusted to the first The power supply priority will be the first one. The power supply strategy for the applied electrical load corresponding to the first power supply priority is adjusted to load limiting, and the power supply strategy for the second priority is adjusted to load limiting. The power supply strategy for the applied electrical load corresponding to the first power supply priority is adjusted to round-robin supply, and the power supply strategy for the second priority is adjusted to round-robin supply. The first to the second The power supply strategy for all power supply priorities corresponding to the applied electrical loads is adjusted to disconnect. ; where, without adjusting the power supply strategy, all electrical loads are supplied with full power, and critical loads are always supplied with full power; when At that time, the power supply strategy for all electrical loads except critical loads will be adjusted to disconnect.

[0103] For example, the power supply priority corresponding to the set is adjusted to There are 5 power supply priorities, therefore the power supply priorities are... The power supply strategy for the applied electrical load has been adjusted to load limiting, and the power supply priority has been adjusted. The power supply strategy for the applied electrical loads has been adjusted to a rotating power supply, prioritizing power supply. and The power supply strategy for the applied electrical load is adjusted to disconnect.

[0104] It should be noted that by constructing a priority set and a hierarchical power supply strategy, intelligent energy management of the pure electrified unit cages during typhoons has been achieved. This can maximize the power supply duration with limited energy storage capacity, ensure continuous power supply to critical loads while also taking into account the needs of other power loads, and significantly improve the power supply reliability and emergency support capability of the pure electrified unit cages under extreme weather conditions.

[0105] The process of downgrading the load for flexible loads within the electrical load includes:

[0106] Flexible loads include surveillance cameras and communication base stations;

[0107] When the priority set that ranks last in the long sequence is marked as the adjustment set, the available power supply energy is divided by the expected number of consecutive days of power supply, and then divided by 24 to obtain the target available power. In this process, it is necessary to perform a dimension conversion on the target available power according to the dimension of the average power so that the dimension of the target available power is consistent with that of the average power.

[0108] Calculate the sum of the average power of all elastic loads to obtain the total elastic power; calculate the ratio of the average power of each elastic load to the total elastic power to obtain the power percentage of each elastic load; calculate the product of the power percentage of each elastic load and the target available power to obtain the available power of each elastic load.

[0109] Calculate the ratio of the available power to the corresponding average power for each elastic load to obtain the downgrade factor for each elastic load. If the downgrade factor is greater than or equal to 1, no downgrade operation is performed on the corresponding elastic load. If the downgrade factor is less than 1, match the downgrade level corresponding to each elastic load according to the downgrade factor of each elastic load. Perform downgrade operation on each elastic load according to the downgrade level of each elastic load.

[0110] Specifically, the downgrading operation for surveillance cameras involves reducing the frame rate and bit rate, while the downgrading operation for communication base stations involves reducing the duty cycle. For surveillance cameras, the corresponding bit rate and frame rate are acquired in real time, and their products with the corresponding downgrading level are calculated. The acquired bit rate and frame rate are then adjusted based on the product result. For communication base stations, the corresponding duty cycle is acquired in real time, and its product with the corresponding downgrading level is calculated. The acquired duty cycle is then adjusted based on the product result.

[0111] It should be noted that the downgrading levels of the surveillance cameras and communication base stations are preset by those skilled in the art based on actual conditions. Common downgrading levels include 25%, 50%, and 75%. The specific downgrading level matched for each elastic load is: the matched value is no higher than the corresponding downgrading coefficient. For example, the downgrading coefficient of the communication base station is 0.53, and the set downgrading levels include 25%, 50%, and 75%, so the matched downgrading level is 50%. In addition, the frame rate, bit rate, and duty cycle are all set with corresponding downgrading lower limits. That is, when performing downgrading operations, if any parameter of the frame rate, bit rate, or duty cycle reaches the corresponding downgrading lower limit, the corresponding parameter will no longer be reduced to ensure minimum performance and communication capability, while avoiding complete failure of the elastic load. The downgrading lower limits are preset by those skilled in the art based on actual conditions, and both the downgrading level and the downgrading lower limit can be remotely adjusted through the shore-based management center.

[0112] The dynamic scheduling of available energy from energy storage based on power supply strategies includes:

[0113] Label the loads with a full power supply strategy as full power supply loads, label the loads with a limited power supply strategy as limited loads, and label the loads with a rotating power supply strategy as rotating loads; calculate the sum of the real-time power of all full power supply loads to obtain the total power supply; calculate the product of the total power supply and the time span to obtain the total power supply energy.

[0114] From the preset load classification set, the classification criteria corresponding to the power supply priority of the power supply strategy of rotating power supply are obtained, and all rotating power supply loads are classified according to the classification criteria to obtain multiple rotating power supply sets. Among them, the load classification set includes the classification criteria corresponding to each power supply priority. The classification criteria are preset by those skilled in the art according to the type, capacity, location and functional category of different power loads, and ensure that the sum of the real-time power of the rotating power supply loads included in each rotating power supply set is similar, so as to achieve power balance among rotating power supply loads.

[0115] Calculate the sum of the real-time power corresponding to all wheel-supply loads in each wheel-supply set to obtain the total wheel-supply power for each wheel-supply set; calculate the average of all total wheel-supply power to obtain the real-time wheel-supply power; calculate the product of the real-time wheel-supply power and the time span to obtain the wheel-supply energy.

[0116] Divide the available power supply energy by the expected number of consecutive power supply days to obtain the daily available energy; subtract the rotational supply energy and the full supply energy from the daily available energy to obtain the load-limited energy; calculate the product of the real-time power and the time span for each load-limited load to obtain the energy demand for each load-limited load; calculate the sum of the energy demands of all load-limited loads to obtain the load-limited energy demand; calculate the ratio of the energy demand to the load-limited energy demand for each load to obtain the energy percentage of each load-limited load; calculate the product of the energy percentage and the load-limited energy for each load to obtain the daily dispatch energy for each load-limited load; calculate the ratio between the total duration of a day and the time span to obtain the number of intervals; calculate the ratio between the daily dispatch energy and the number of intervals for each load-limited load to obtain the dispatch energy for each load-limited load.

[0117] All fully supplied loads and rotating loads that provide power are marked as power supply loads. The real-time power of each power supply load is calculated by multiplying the real-time power by the time span to obtain the real-time energy of each power supply load. Based on the real-time energy of each power supply load and the scheduling energy of each load-limited load, the available energy of energy storage is dynamically scheduled.

[0118] The dynamic scheduling of available energy storage based on the results of downgrading operations includes:

[0119] The available energy of the energy storage system is dynamically scheduled based on the available power of each resilient load and the real-time power of each critical load that is not a resilient load.

[0120] The wind-solar synergy module is used to detect typhoon periods, continuously collect wind and solar availability data during typhoon periods, intelligently capture wind and solar power generation windows based on wind and solar availability data, and use these windows to supplement the energy storage available energy of the pure electrified unit grid box.

[0121] The typhoon period refers to the time during which a typhoon affects the area where the pure electrified unit cage is located. This is detected by real-time wind speed data. If the real-time wind speed is greater than or equal to a preset wind speed threshold, it is determined that the current time is within the typhoon period. If the real-time wind speed is less than the preset wind speed threshold, it is determined that the current time is not within the typhoon period. The wind speed threshold is preset by those skilled in the art based on the actual situation.

[0122] The content of the intelligent capture window for wind and solar power generation includes:

[0123] Each future availability time is marked as a future time. The future availability in each set of future state data is obtained and sorted from earliest to latest according to the corresponding time to generate an availability sequence. The corresponding preceding availability is subtracted from each future availability in the availability sequence to obtain the availability difference for each future time. The preceding availability for each future availability is the future availability at the position preceding it. The ratio of each availability difference to the time span is calculated sequentially to obtain the wind and light change rate for each future time. Each wind and light change rate is compared sequentially with a preset change threshold. Future times with a wind and light change rate greater than the change threshold are marked as candidate times, while future times with a wind and light change rate less than or equal to the change threshold are not marked.

[0124] Among all candidate times, consecutive candidate times are treated as a set of times; the number of candidate times in each set of times is counted and marked as the number of candidates; each number of candidates is compared with a preset number threshold, and the set of times with a number of candidates greater than the number threshold is taken as the candidate power generation window; the number threshold and the change threshold are preset by those skilled in the art according to the actual situation.

[0125] When the current moment is at the start of a candidate power generation window (i.e., the earliest future moment among all future moments corresponding to the candidate power generation window), real-time wind and solar availability and short-term meteorological data are collected, and the future availability at the next moment is predicted. Based on the real-time collected wind and solar availability and the future availability at the next moment, the wind and solar change rate at the current moment is calculated. If the wind and solar change rate at the current moment is greater than the change threshold, the corresponding candidate power generation window is used as a wind and solar power generation window. If the wind and solar change rate at the current moment is less than or equal to the change threshold, the corresponding candidate power generation window is not used as a wind and solar power generation window.

[0126] The use of wind and solar power generation windows to supplement the available energy storage for pure electrified unit cell grids includes:

[0127] Based on real-time meteorological data from short-term meteorological data, a swarm intelligence optimization algorithm (such as particle swarm optimization algorithm, ant colony optimization algorithm, etc.) is used to dynamically formulate equipment adjustment strategies, and the wind and solar generators and photovoltaic panels are dynamically adjusted based on the equipment adjustment strategies. The equipment adjustment strategies include wind turbine adjustment strategies and photovoltaic adjustment strategies. The wind turbine adjustment strategies include adjusting the yaw angle and blade pitch angle of the wind turbine generator, etc.; the photovoltaic adjustment strategies include adjusting the tilt angle and azimuth angle of the photovoltaic panels, etc.

[0128] This embodiment manages electrical loads hierarchically to ensure continuous power supply to critical loads (such as AIS, surveillance cameras, and communication base stations) during typhoons, thereby ensuring the core functions and safety monitoring capabilities of the pure electrified unit cage. Based on dynamically predicted energy storage duration and intelligent power supply strategy adjustments, it maximizes power supply duration with limited energy storage capacity, improving the power supply reliability and autonomous survivability of the pure electrified unit cage under extreme weather conditions. Simultaneously, by intelligently capturing wind and solar power generation windows and adjusting wind and solar power equipment in real time, it effectively improves the utilization efficiency of wind and solar power, fully utilizing renewable energy to provide continuous power for energy storage supplementation. This embodiment achieves highly reliable power supply under extreme weather conditions by comprehensively applying technologies such as load hierarchical management, dynamic energy dispatch, and wind and solar resource optimization, ensuring the continuous operation of critical loads, improving marine aquaculture monitoring and data communication capabilities, effectively utilizing renewable energy, and enhancing the system's autonomous survivability.

[0129] Example 2

[0130] This application also provides an electronic device. The electronic device may include one or more processors and one or more memories. The memories store computer-readable code, which, when executed by the one or more processors, can perform a typhoon-resistant reliable power supply system for a fully electrified unit cage as described above.

[0131] The method or system according to the embodiments of this application can also be implemented using the architecture of the electronic device shown in this application. The electronic device may include a bus, one or more CPUs, ROM, RAM, a communication port connected to a network, input / output, a hard disk, etc. The storage device in the electronic device, such as a ROM or hard disk, may store a typhoon-resistant reliable power supply system for a pure electrified unit cage provided in this application. Furthermore, the electronic device may also include a user interface. Of course, the architecture shown in this application is merely exemplary; when implementing different devices, one or more components in the electronic device shown in this application may be omitted according to actual needs.

[0132] Example 3

[0133] One embodiment of this application discloses a computer-readable storage medium. The computer-readable storage medium stores computer-readable instructions. When the computer-readable instructions are executed by a processor, a typhoon-resistant reliable power supply system for a pure electrified unit cage according to an embodiment of this application, as described with reference to the above figures, can be executed. The storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and cache memory. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0134] Furthermore, according to embodiments of this application, the processes described above with reference to the flowchart can be implemented as computer software programs. For example, this application provides a non-transitory machine-readable storage medium storing machine-readable instructions that can be executed by a processor to perform instructions corresponding to the method steps provided in this application, such as a typhoon-resistant reliable power supply system for a fully electrified unit cage. When this computer program is executed by a central processing unit (CPU), it performs the functions defined in the method of this application.

[0135] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0136] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0137] In the description of this invention, it should be understood that the terms "first," "second," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance.

[0138] In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0139] In the description of this invention, "several" means one or more, and "a large number" means two or more.

[0140] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0141] All formulas in this manual are dimensionless and calculated numerically. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters and thresholds in the formulas are set by those skilled in the art according to the actual situation.

[0142] Although embodiments of the invention have been shown and described, those skilled in the art will understand 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 claims and their equivalents.

Claims

1. A pure electric chemical cell net cage anti-typhoon reliable power supply system, characterized in that, The method comprises the following steps: a load grading module is used to grade the loads in the pure electric unit net cage to obtain the power supply priorities of the loads; a capacity guarantee module is used to freeze the available energy of the energy storage in the pure electric unit net cage according to a preset minimum energy threshold when a typhoon warning is triggered; a duration prediction module is used to collect energy storage information, load information and wind and light availability in real time to form operation state data, and dynamically predict the maintenance duration based on the operation state data and the minimum energy threshold; a scheduling execution module is used to intelligently adjust the power supply strategies of different loads according to the maintenance duration and the power supply priorities, perform step-down operation on the flexible loads in the loads, and dynamically schedule the available energy of the energy storage based on the power supply strategies and the step-down operation results; a wind and light cooperation module is used to detect a typhoon period, continuously collect wind and light availability during the typhoon period, intelligently capture wind and light generation windows according to the wind and light availability, and supplement the available energy of the energy storage in the pure electric unit net cage by using the wind and light generation windows. The content of intelligently capturing the wind and light generation window comprises: each future time corresponding to each future availability is marked as a future time; each future availability in each set of future state data is obtained, and each future availability is sorted from early to late according to the corresponding future time to generate an availability sequence; each future availability in the availability sequence is subtracted by the corresponding preceding availability to obtain the availability difference value of each future time; the ratio of each availability difference value to the time span is calculated in turn to obtain the wind and light change rate of each future time; each wind and light change rate is compared with a preset change threshold in turn, and the future time with the wind and light change rate greater than the change threshold is marked as a candidate time; wherein the future availability is the wind and light availability at the future time predicted according to the real-time collected wind and light availability, the future state data is the operation state data at the future time predicted according to the operation state data, and the time span is the time interval between two times; the preceding availability corresponding to the future availability is the future availability located in the front position; all continuous candidate times in all candidate times are taken as a set of times; the number of candidate times in each set of times is counted and marked as a candidate number; each candidate number is compared with a preset number threshold, and the set of times with the candidate number greater than the number threshold is taken as a candidate generation window; when the current time is at the starting time of the candidate generation window, the wind and light availability and short-term meteorological data are collected in real time, and the future availability at the next time is predicted; based on the real-time collected wind and light availability and the future availability at the next time, the wind and light change rate at the current time is calculated; if the wind and light change rate at the current time is greater than the change threshold, the corresponding candidate generation window is taken as the wind and light generation window.

2. A pure electrochemical cell net cage anti-typhoon reliable power supply system according to claim 1, characterized in that, The content of grading the loads in the pure electric unit net cage comprises: The historical power data of each power consumption load is acquired in sequence, and the historical power data includes the instantaneous power of the power consumption load at each time point in the past instantaneous power changing over time within a day In each set of historical power data, the instantaneous power in the same day is taken as a set of power sets, and the corresponding The running proportion of each set of power sets is calculated, and the running proportion of each set of historical power data is calculated by mean value to obtain the running proportion mean value of each power load. The functional importance of each power consumption load is obtained, and a weight coefficient of the operation occupation average and the functional importance is calculated respectively; based on the weight coefficient, the operation occupation average and the functional importance of each power consumption load are weighted and calculated to obtain the task criticality of each power consumption load; according to a preset threshold set and the task criticality of each power consumption load, each power consumption load is divided into different power supply priorities; wherein, the power supply priorities are ​ 3. A pure electrochemical cell net cage anti-typhoon reliable power supply system according to claim 2, characterized in that, the energy storage information comprises the available energy of the energy storage and the state of charge; the load information comprises the historical power data and real-time power of each load; the steps of dynamically predicting the maintenance duration comprise: Step S1: based on the real-time collected operation state data, predict the operation state data at the next time and mark it as future state data; Step S2: Obtain the discharge depth limit, and calculate the minimum state of charge in real time based on the discharge depth limit and the minimum energy threshold; the discharge depth limit refers to the proportion of the maximum amount of electricity allowed to be released by the energy storage battery in a discharge process to the rated capacity of the battery; Step S3: Compare the state of charge in the future state data with the minimum state of charge to determine whether the pure electric unit net cage reaches the minimum safety reserve; Step S4: If the minimum safety reserve is not reached, predict the future state data at the next time based on the future state data, and return to step S3; if the minimum safety reserve is reached, proceed to step S5; Step S5: Mark the time corresponding to the last predicted future state data as the final time, and obtain the maintenance time span according to the time span between the current time and the final time.

4. A pure electrochemical cell net cage anti-typhoon reliable power supply system according to claim 3, characterized in that, In step S1, the content of predicting the operating state data at the next time includes: Input each set of historical power data into the corresponding trained load prediction model to predict the instantaneous power of each power load at the next time; according to the instantaneous power predicted by all load prediction models, future load information is formed; Collect short-term weather data, input the short-term weather data and wind and light availability in the operating state data into the trained wind and light prediction model to predict the wind and light availability at the next time, and mark it as future availability; According to the real-time power in the operating state data, calculate the total load power, and combine the energy availability of the energy storage and the wind and light availability to calculate the energy availability of the energy storage at the next time, and mark it as future energy availability; according to the future energy availability, the energy availability of the energy storage and the state of charge, calculate the state of charge at the next time, and mark it as future state of charge; According to the future load information, the future availability, the future energy availability and the future state of charge, the future state data is formed.

5. A pure electrochemical cell net cage anti-typhoon reliable power supply system according to claim 4, characterized in that, In step S2, the content of calculating the minimum state of charge in real time includes: Calculate the difference between 100% and the discharge depth limit to obtain the minimum state of charge; calculate the ratio of the minimum energy threshold to the rated capacity of the battery to obtain the remaining state of charge; calculate the sum of the minimum state of charge and the remaining state of charge to obtain the minimum state of charge.

6. A pure electrochemical cell net cage anti-typhoon reliable power supply system according to claim 5, characterized in that, The content of intelligently adjusting the power supply strategy of different power loads includes: According to the future load information at each time within the maintenance time span, calculate the average power of each power load; construct a priority set corresponding to each power supply priority, and calculate the power demand of each priority set in turn according to the average power of each power load; According to the future energy availability corresponding to the final time and the energy availability of the energy storage corresponding to the current time, calculate the available power supply energy; according to the available power supply energy and the power demand of each priority set, calculate the demand time span of each priority set; according to the preset safety margin coefficient, and combining the demand time span of each priority set, calculate the safety time span corresponding to each priority set; Obtain the expected continuous power supply days, compare the safety time span corresponding to each priority set with the expected continuous power supply days respectively, and intelligently adjust the power supply strategy of different power loads according to the comparison result; wherein the power supply strategy includes full supply, load limiting, round supply and cutting off.

7. A pure electrochemical cell net cage anti-typhoon reliable power supply system according to claim 6, characterized in that, The content of intelligently adjusting the power supply strategy of different power consumption loads according to the comparison result comprises: all priority sets are sorted according to corresponding safety time lengths from small to large to generate a time length sequence; the expected continuous power supply days are added to the time length sequence, and a priority set located at a position before the expected continuous power supply days is marked as an adjustment set; If the power supply priority corresponding to the adjustment set is adjusted to the th power supply priority, the power supply strategy of the power load corresponding to the th power supply priority is adjusted to load limiting, the power supply strategy of the power load corresponding to the th power supply priority is adjusted to round-robin, and the power supply strategy of the power load corresponding to the th to the th power supply priority is all adjusted to cut off. ​ 8. A pure electrochemical cell net cage anti-typhoon reliable power supply system according to claim 7, characterized in that, the content of performing a downshift operation on an elastic load in the power consumption load comprises: when the priority set located at the last position in the time length sequence is marked as the adjustment set, a target available power is calculated according to the available energy for power supply; the power ratio of each elastic load is calculated in turn according to the average power of each elastic load, and the available power of each elastic load is calculated in combination with the target available power; the ratio of the available power of each elastic load to the corresponding average power is calculated in turn to obtain a downshift coefficient of each elastic load; if the downshift coefficient is greater than or equal to 1, no downshift operation is performed on the corresponding elastic load; if the downshift coefficient is less than 1, the downshift gear of each elastic load is matched according to the downshift coefficient of each elastic load; and the downshift operation is performed on each elastic load in turn according to the downshift gear of each elastic load.

9. A pure electrochemical cell net cage anti-typhoon reliable power supply system according to claim 8, characterized in that, The content of dynamically scheduling the available energy of the energy storage based on the power supply strategy and the downshift operation result comprises: the power consumption loads with the power supply strategy of full supply are marked as full supply loads, the power consumption loads with the power supply strategy of load limiting are marked as load limiting loads, and the power consumption loads with the power supply strategy of rotation supply are marked as rotation supply loads; a time interval between two time points is obtained and marked as a time span; and the full supply energy is calculated according to the real-time power of all full supply loads and the time span; the classification standard corresponding to the power supply priority of rotation supply is obtained from a preset load classification set, and all rotation supply loads are classified based on the classification standard to obtain a plurality of rotation supply sets; the rotation supply total power of each rotation supply set is calculated in turn, and the mean value of all rotation supply total powers is calculated to obtain the rotation supply real-time power; the product of the rotation supply real-time power and the time span is calculated to obtain the rotation supply energy; the daily available energy is calculated according to the available energy for power supply and the expected continuous power supply days, and the load limiting energy is calculated in combination with the rotation supply energy and the full supply energy; the demand energy of each load limiting load is calculated according to the real-time power of each load limiting load and the time span, and the sum of all demand energies is calculated to obtain the load limiting demand energy; the scheduling energy of each load limiting load is calculated according to the demand energy of each load limiting load, the load limiting demand energy and the load limiting energy; all full supply loads and rotation supply loads under power supply are marked as power supply loads, and the real-time energy of each power supply load is calculated; the available energy of the energy storage is dynamically scheduled based on the real-time energy of each power supply load and the scheduling energy of each load limiting load.

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