Container ship multi-condition shaft power generation and energy storage hybrid power efficiency optimization system

Abstract

The application provides a container ship multi-working-condition shaft power generation and energy storage hybrid power efficiency optimization system, which is applied to the field of ship energy management and comprises a working condition strategy module, a fluctuation suppression module and a power distribution module, the working condition strategy module is electrically connected with a ship radar navigation device and a ship identification system receiver, the fluctuation suppression module is electrically connected with a refrigerated container load detection component, and the power distribution module is electrically connected with a ship power grid load detector, a main engine rotating speed sensor and an energy storage state of charge sensor; the application cooperatively regulates the output power of the main engine shaft power generation device, the auxiliary power generation device and the composite energy storage device, and builds an efficient power calling mechanism for the ship power grid, so that under complex ship working condition information, the safety redundancy and reliability of power supply are improved, the electric energy utilization efficiency is improved, the fuel consumption is reduced, and the comprehensive goals of energy saving and emission reduction are achieved.

Description

Technical Field

[0001] This application relates to the field of ship energy management, and in particular to a hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships. Background Technology

[0002] In the ocean shipping sector, container ships serve as the core transportation carrier for global trade, and their operational economy and environmental friendliness are of paramount importance.

[0003] In the prior art, container ships are usually equipped with a ship electrical system. The existing ship electrical system is based on an auxiliary diesel generator set, with a shaft generator added to recover some surplus power under steady-state navigation conditions where the main engine speed is stable. The system is also equipped with an energy storage device to store the recovered electrical energy. When the navigation conditions change, the stored electrical energy is released to provide emergency power support and buffer short-term power grid fluctuations, thereby reducing fuel consumption.

[0004] Existing technologies still have some shortcomings in practical use. Since each power generation unit (auxiliary diesel generator set, shaft-driven generator) and composite energy storage device usually adopt independent or simple sequential control strategies, they lack unified multi-source information perception and intelligent scheduling capabilities. As a result, there is often a lack of coordinated optimization control between each power generation unit and composite energy storage device, which leads to the failure to fully realize the overall energy efficiency potential of the system and meet increasingly stringent energy efficiency and emission reduction requirements. Summary of the Invention

[0005] This application provides a hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships, enabling each power generation unit and the composite energy storage device to operate in coordination and improve energy utilization efficiency.

[0006] To achieve the above objectives, this application adopts the following technical solution:

[0007] This application provides a hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships, including an operating condition strategy module, a fluctuation suppression module, and a power distribution module;

[0008] The operating condition strategy module is electrically connected to the ship's radar navigation equipment and the ship identification system receiver. It is used to acquire ship position parameters and ship navigation status parameters, and to preprocess the ship position parameters and ship navigation status parameters through the central processing system to obtain ship operating condition information, and then send the ship operating condition information to the power distribution module.

[0009] The fluctuation suppression module is electrically connected to the refrigerator load detection component. It is used to obtain the refrigerator load parameters and the load change trend parameters output by the load prediction model. The central processing system analyzes the refrigerator load parameters and load change trend parameters, identifies the risk of sudden changes in refrigerator load power, generates a load power sudden change warning signal, and converts the power sudden change warning signal into a compensation request command through the central processing system, and sends the compensation request command to the power distribution module.

[0010] The power distribution module is electrically connected to the ship's electrical grid load detector, main engine speed sensor, and energy storage state of charge sensor. It is used to collect ship's electrical grid load parameters, main engine speed parameters, and energy storage state of charge parameters. When the power distribution module responds to the compensation request command, it generates a power deviation compensation control command. Based on the power deviation compensation control command, it adjusts the working state of the composite energy storage device. Through the central processing system, it generates adjustment commands based on ship operating condition information, ship's electrical grid load parameters, main engine speed parameters, and energy storage state of charge parameters. The adjustment commands are used to adjust the working state of the main engine shaft generator and auxiliary generator.

[0011] In some possible implementations, the working condition strategy module includes a geofencing unit and a working condition identification unit;

[0012] Geographic fence units are pre-stored with typical working condition geographic boundary information based on electronic nautical charts;

[0013] The operating condition identification unit is electrically connected to the ship's radar navigation equipment and the ship identification system receiver. It is used to acquire the ship's position, speed and heading information. Through the central processing system, the ship's position, speed and heading information is preprocessed to obtain preliminary operating conditions. The preliminary operating conditions are then matched and analyzed with the typical operating condition geographical boundary information pre-stored in the geofencing unit to determine the ship's operating condition information. The ship's operating condition information is then sent to the power distribution module.

[0014] In some possible implementations, the fluctuation suppression module includes a load data interface unit and a prediction calculation unit;

[0015] The load data interface unit is electrically connected to the refrigerator load detection component and is used to transmit the refrigerator load parameters collected by the refrigerator load detection component to the prediction calculation unit.

[0016] The predictive calculation unit is electrically connected to the load data interface unit. The predictive calculation unit has a built-in load prediction model, which is used to run the load prediction model based on the refrigerator load parameters, generate load change trend parameters, and send the refrigerator load parameters and load change trend parameters to the central processing system. The central processing system analyzes the refrigerator load parameters and load change trend parameters, identifies the risk of sudden changes in refrigerator load power, generates a load power change warning signal, and converts the power change warning signal into a compensation request command through the central processing system, and sends the compensation request command to the power distribution module.

[0017] In some possible implementations, the power allocation module includes a multi-source information fusion unit and a collaborative decision-making unit;

[0018] The multi-source information fusion unit is electrically connected to the ship's power grid load detector, main engine speed sensor, and energy storage charge status sensor. It acquires ship operating condition information through the central processing system and performs information fusion processing on the received ship operating condition information, ship power grid load parameters, main engine speed parameters, and energy storage charge status parameters to obtain fused high-precision operating status information. The high-precision operating status information is then sent to the collaborative decision-making unit.

[0019] The collaborative decision-making unit, electrically connected to the multi-source information fusion unit, through the central processing system, compares the ship's power grid load parameters with load change trend parameters upon receiving a compensation request command, based on high-precision operating status information, to obtain the power deviation value. It also compares the energy storage state of charge parameters with the preset state of charge threshold to determine the adjustable margin of the composite energy storage equipment. Based on the power deviation value and the adjustable margin, it calculates the target compensation power, generates a power deviation compensation control command, and adjusts the operating state of the composite energy storage equipment according to the power deviation compensation control command. Through the central processing system, it generates adjustment commands based on ship operating condition information, ship's power grid load parameters, main engine speed parameters, and energy storage state of charge parameters, and uses the adjustment commands to adjust the operating state of the main engine shaft generator and auxiliary generator.

[0020] In some possible implementations, the power distribution module is specifically used for:

[0021] When the collaborative decision-making unit receives a compensation request instruction, it prioritizes executing the power deviation compensation control instruction generated based on the compensation request instruction.

[0022] In some possible implementations, the power distribution module also includes a feedback detection unit electrically connected to the composite energy storage device, the main shaft-driven generator, and the auxiliary generator. The feedback detection unit is used to collect the output power parameters of the composite energy storage device, the main shaft-driven generator, and the auxiliary generator, and to return these parameters to the collaborative decision-making unit for verifying the execution effect of the generated power deviation compensation control command and adjustment command.

[0023] In some possible implementations, the collaborative decision-making unit is specifically used for:

[0024] After receiving the output power parameters returned by the feedback detection unit, the central processing system compares the output power parameters of the composite energy storage device, the main shaft generator, and the auxiliary generator with the target compensation power of the corresponding device and the expected power parameters corresponding to the adjustment command issued to the corresponding device, respectively, to obtain the operating deviation value and compensation deviation value of the corresponding device.

[0025] The operating deviation value is used to characterize the difference between the actual output power of the equipment and the target output power of the equipment, while the compensation deviation value is used to characterize the difference between the actual output power of the equipment and the target output power corresponding to the adjustment command;

[0026] When the central processing system detects that at least one of the operating deviation value and the compensation deviation value is greater than the corresponding preset deviation threshold, it triggers a secondary correction process. The central processing system generates a correction command and sends the correction command to the corresponding equipment for secondary adjustment of the composite energy storage equipment, the main shaft generator, and the auxiliary generator.

[0027] In some possible implementations, the collaborative decision-making unit is specifically used for:

[0028] The system prioritizes acquiring the current state of charge (SOC) parameters of the composite energy storage device and compares them with a preset SOC safety threshold through the central processing system. When the current SOC parameters are lower than the preset SOC safety threshold, the central processing system generates a correction command and sends the correction command to the composite energy storage device, the main shaft generator, and the auxiliary generator to reduce the output power of the composite energy storage device and increase the output power of the main shaft generator and the auxiliary generator.

[0029] When the current energy storage state of charge parameter is greater than or equal to the preset energy storage state of charge parameter safety threshold, the central processing system generates a correction command and sends the correction command to the composite energy storage device, the main shaft generator and the auxiliary generator to increase the output power of the composite energy storage device and reduce the output power of the main shaft generator and the auxiliary generator.

[0030] In some possible implementation methods, ship condition information includes:

[0031] The operating conditions include at least one of the following: constant speed navigation in open sea, maneuvering navigation in and out of port, low speed navigation in congested waters, loading and unloading operations, berthing and standby in port, and shore power access.

[0032] In some possible implementations, the operating condition strategy module configures a corresponding basic power allocation strategy for each type of ship operating condition information.

[0033] As can be seen from the above technical solution, this application has the following beneficial effects:

[0034] 1. This application achieves optimization and energy efficiency improvement of the ship's power system under multiple operating conditions. It not only significantly enhances the stability and shock resistance of the ship's power grid, but also differs from the existing technology where each power generation unit (auxiliary diesel engine, shaft generator) and composite energy storage device mostly adopt independent operation or simple sequential control. By coordinating and regulating the output power of the main engine shaft generator, auxiliary power generation device and composite energy storage device, it constructs an efficient power dispatch mechanism for the ship's power grid. As a result, under complex ship operating conditions, it not only improves the safety redundancy and reliability of power supply, but also improves the efficiency of power utilization and reduces fuel consumption, thereby achieving the comprehensive goals of energy conservation and emission reduction.

[0035] 2. This application features high-precision fusion of multi-source information and collaborative decision-making among multiple power sources. Its technical effect is to significantly enhance the scheduling capability and rapid power response capability of the ship's power grid under varying operating conditions. It not only improves the stability and redundancy of the power grid operation, but also reduces energy consumption, and realizes comprehensive optimization of the ship's power system in terms of safety, economy and energy efficiency.

[0036] 3. This application implements a closed-loop regulation mechanism by introducing a feedback detection unit. After collecting the output power parameters of the composite energy storage device, the main engine shaft generator, and the auxiliary generator, it accurately identifies the deviation between the device output power and the scheduling target power by comparing the target compensation power with the expected power parameters. When the deviation exceeds the limit, a secondary correction process is triggered. Through this process, the central processing system can not only generate correction instructions in a timely manner, but also select the priority regulation path by combining the energy storage state-of-charge parameters of the composite energy storage device, thereby optimizing the division of labor between the composite energy storage device and the generator. Furthermore, through the secondary correction mechanism, the adaptability of the power system to load changes and complex operating condition switching is improved. Its technical effect is to significantly enhance the adaptability of the ship's power grid, ensuring that the power grid can still maintain a balance between power supply and demand in scenarios such as large-scale parallel operation of refrigerated containers, sea state fluctuations, or sudden changes in main engine speed. At the same time, by constraining the energy storage state-of-charge parameters of the composite energy storage device, over-discharge or over-charging of the composite energy storage device is avoided, thereby improving the service life and operational safety of the composite energy storage device. Attached Figure Description

[0037] The invention will now be further described with reference to the accompanying drawings.

[0038] Figure 1 This is a structural diagram of the hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on a container ship, provided in an embodiment of this application. Detailed Implementation

[0039] The terms "first," "second," and "third," etc., used in this application specification, claims, and drawings are used to distinguish different objects, not to limit a specific order.

[0040] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0041] Research has revealed that in existing technologies, each power generation unit (auxiliary diesel generator set, shaft-driven generator) and composite energy storage device typically employs independent or simple sequential control strategies, lacking unified multi-source information perception and intelligent scheduling capabilities. This results in a lack of coordinated optimization control between the power generation units and composite energy storage devices, leading to the failure to fully realize the overall energy efficiency potential of the system and making it unable to meet the increasingly stringent energy efficiency and emission reduction regulations of the International Maritime Organization.

[0042] Example 1: To solve the above problems, as follows... Figure 1 As shown:

[0043] This application provides a hybrid power efficiency optimization system for shaft-mounted power generation and energy storage under multiple operating conditions of container ships, including an operating condition strategy module, a fluctuation suppression module, and a power distribution module;

[0044] The operating condition strategy module is electrically connected to the ship radar navigation equipment and the ship identification system receiver. It is used to acquire ship position parameters and ship navigation status parameters, and to preprocess the ship position parameters and ship navigation status parameters through the central processing system to obtain ship operating condition information. The ship operating condition information is then sent to the power distribution module.

[0045] The fluctuation suppression module is electrically connected to the refrigerator load detection component and is used to acquire the refrigerator load parameters and the load change trend parameters output by the load prediction model. The central processing system analyzes the refrigerator load parameters and the load change trend parameters to identify the risk of sudden changes in refrigerator load power, generates a load power sudden change warning signal, and converts the power sudden change warning signal into a compensation request instruction through the central processing system, and sends the compensation request instruction to the power distribution module.

[0046] The power distribution module is electrically connected to the ship's electrical grid load detector, the main engine speed sensor, and the energy storage state of charge sensor. It is used to collect ship's electrical grid load parameters, main engine speed parameters, and energy storage state of charge parameters. When the power distribution module responds to the compensation request command, it generates a power deviation compensation control command and adjusts the working state of the composite energy storage device according to the power deviation compensation control command. Through the central processing system, it generates adjustment commands based on the ship's operating condition information, the ship's electrical grid load parameters, the main engine speed parameters, and the energy storage state of charge parameters, and uses the adjustment commands to adjust the working state of the main engine shaft generator and the auxiliary generator.

[0047] In this embodiment, the system constructs a closed-loop control process that encompasses ship operating condition perception, load power fluctuation prediction, and multi-source power regulation, from operating condition identification, risk warning, energy storage compensation to power collaborative distribution.

[0048] Specifically, the ship's position and navigation status parameters are first obtained through the ship's radar navigation equipment and ship identification system receiver. Under the preprocessing of the central processing system, the ship's operating condition information is obtained, which realizes the identification of the current operating condition and ensures that the power allocation decision is targeted.

[0049] By using the refrigerated container load detection component, the load parameters of the refrigerated container and the load change trend parameters output by the load prediction model are obtained. Under the preprocessing of the central processing system, the sudden risk of power demand change of the refrigerated container group can be identified in advance. Before the sudden risk occurs, a load power change warning signal can be generated and converted into a compensation request command through the central processing system, which can avoid the impact of sudden large load on the ship's power grid.

[0050] When the power distribution module responds to the compensation request command, it schedules the composite energy storage device based on the energy storage charge parameters provided by the energy storage charge state sensor. Subsequently, based on the collected ship power grid load parameters and main engine speed parameters, it jointly optimizes the main engine shaft generator and auxiliary generator to achieve dynamic balance and efficient allocation of power.

[0051] This system optimizes and improves the energy efficiency of the ship's power system under various operating conditions. It significantly enhances the stability and resilience of the ship's power grid. Unlike existing technologies where individual power generation units (auxiliary diesel generators, shaft generators) and composite energy storage devices often operate independently or with simple sequential control, this embodiment constructs a highly efficient power dispatch mechanism for the ship's power grid by collaboratively regulating the output power of the main engine shaft generator, auxiliary power generation devices, and composite energy storage devices. Therefore, under complex ship operating conditions, it not only improves the safety redundancy and reliability of the power supply but also increases energy utilization efficiency and reduces fuel consumption, thus achieving the comprehensive goals of energy conservation and emission reduction.

[0052] Example 2, as Figure 1 As shown, specifically:

[0053] The working condition strategy module includes a geofencing unit and a working condition identification unit;

[0054] The geofence unit is pre-stored with typical working condition geographic boundary information based on electronic nautical charts;

[0055] The operating condition identification unit is electrically connected to the ship radar navigation equipment and the ship identification system receiver. It is used to acquire ship position, speed and heading information. Through the central processing system, the ship position, speed and heading information is preprocessed to obtain preliminary operating conditions. The preliminary operating conditions are matched and analyzed with the typical operating condition geographical boundary information pre-stored in the geofencing unit to determine the ship operating condition information. The ship operating condition information is then sent to the power distribution module.

[0056] The vessel operating condition information includes at least one of the following: constant speed navigation in open sea, maneuvering in and out of port, low speed navigation in congested waters, loading and unloading operations, berthing and standby in port, and shore power access.

[0057] The operating condition strategy module configures a corresponding basic power allocation strategy for each type of ship operating condition information.

[0058] In this embodiment, the operating condition strategy module realizes the identification of ship operating condition information through the geofencing unit and the operating condition identification unit.

[0059] Specifically, the system first uses the location, speed, and heading information collected by the ship's radar navigation equipment and ship identification system receiver, and then preprocesses it using the central processing system to obtain preliminary operating condition data. Subsequently, the preliminary operating conditions are compared with the typical operating condition geographic boundary information based on electronic nautical charts pre-stored in the geofence unit. This allows for early identification before the ship enters the actual operating conditions, enabling the power distribution module to have the foresight to adjust the power allocation strategy before entering the target waters.

[0060] In this way, the operating condition strategy module can not only distinguish between various typical operating environments such as constant speed navigation in open sea areas, maneuvering navigation in and out of ports, low speed navigation in congested waters, loading and unloading operations, berthing and standby in port, and shore power access, but also call the corresponding basic power allocation strategy for different ship operating condition information to achieve precise matching between power dispatching schemes and ship operation tasks.

[0061] Example 3, as Figure 1 As shown, specifically:

[0062] The fluctuation suppression module includes a load data interface unit and a prediction calculation unit;

[0063] The load data interface unit is electrically connected to the refrigerator load detection component and is used to transmit the refrigerator load parameters collected by the refrigerator load detection component to the prediction calculation unit.

[0064] The prediction calculation unit is electrically connected to the load data interface unit. The prediction calculation unit has a built-in load prediction model, which is used to run the load prediction model based on the refrigerator load parameters, generate load change trend parameters, and send the refrigerator load parameters and the load change trend parameters to the central processing system. The central processing system analyzes the refrigerator load parameters and the load change trend parameters, identifies the risk of sudden changes in refrigerator load power, generates a load power sudden change warning signal, and converts the power sudden change warning signal into a compensation request instruction through the central processing system, and sends the compensation request instruction to the power distribution module.

[0065] In this embodiment, the fluctuation suppression module achieves the detection and trend prediction of load fluctuations in a group of refrigerated containers through the collaborative action of the load data interface unit and the prediction calculation unit.

[0066] Specifically, the load data interface unit first collects the load parameters of the refrigerated container group, ensuring that the actual power consumption of the refrigerated containers can be quickly transmitted and recorded; then the prediction calculation unit calculates the load parameters of the refrigerated containers based on the built-in load prediction model and outputs load change trend parameters, enabling the system to perceive the changing trend of the power demand of the refrigerated containers in the future.

[0067] The central processing system cross-compares load parameters with load change trend parameters to identify potential sudden power fluctuations in the refrigerated container group and generates corresponding early warning signals for load power fluctuations.

[0068] Furthermore, the warning signal is converted into a compensation request command within the central processing system and promptly sent to the power distribution module, enabling the power distribution module to adjust the energy storage equipment and power scheduling scheme before the load on the refrigerated container surges.

[0069] In this way, compared to existing technologies that rely solely on single-point detection or reactive response, the fluctuation suppression module possesses forward-looking load forecasting capabilities and risk defense mechanisms. Its technical effects include significantly reducing the impact of sudden power fluctuations in refrigerated container groups on the ship's power grid, improving the stability and anti-interference capabilities of the ship's power system under large-scale fluctuation conditions, and simultaneously enhancing the compensation efficiency and proactive power allocation of the composite energy storage equipment, thereby achieving dynamic balance and energy efficiency optimization on the power demand side of the container ship.

[0070] Example 4, as Figure 1 As shown, specifically:

[0071] The power allocation module includes a multi-source information fusion unit and a collaborative decision-making unit;

[0072] The multi-source information fusion unit is electrically connected to the ship's power grid load detector, the main engine speed sensor, and the energy storage charge status sensor. It acquires the ship's operating condition information through the central processing system and performs information fusion processing on the received ship operating condition information, ship's power grid load parameters, main engine speed parameters, and energy storage charge status parameters to obtain fused high-precision operating status information. The high-precision operating status information is then sent to the collaborative decision-making unit.

[0073] The collaborative decision-making unit is electrically connected to the multi-source information fusion unit. Through the central processing system, based on the high-precision operating status information, upon receiving the compensation request command, it compares the ship's power grid load parameters with the load change trend parameters to obtain a power deviation value, and compares the energy storage state-of-charge parameters with a preset state-of-charge threshold to determine the adjustable margin of the composite energy storage device. Based on the power deviation value and the adjustable margin, it calculates the target compensation power, generates a power deviation compensation control command, and adjusts the operating state of the composite energy storage device according to the power deviation compensation control command. Through the central processing system, based on the ship's operating condition information, the ship's power grid load parameters, the main engine speed parameters, and the energy storage state-of-charge parameters, it generates adjustment commands and uses these commands to adjust the operating states of the main engine shaft generator and the auxiliary generator.

[0074] When the collaborative decision-making unit receives the compensation request instruction, it prioritizes executing the power deviation compensation control instruction generated based on the compensation request instruction.

[0075] In this embodiment, the power allocation module realizes dynamic scheduling of the ship's power system through the linkage of the multi-source information fusion unit and the collaborative decision-making unit.

[0076] Specifically, the multi-source information fusion unit improves the accuracy of operating status information by fusing ship operating condition information, ship power grid load parameters, main engine speed parameters and energy storage charge status parameters, and also makes subsequent scheduling decisions more comprehensive and forward-looking.

[0077] With the support of the central processing system, the collaborative decision-making unit can quickly determine the relationship between the power demand of the power grid and the adjustability of the composite energy storage device based on high-precision operating status information and the compensation request command, thereby generating a precise target compensation power.

[0078] Furthermore, the collaborative decision-making unit generates power deviation compensation control commands to prioritize the power output of composite energy storage devices in order to achieve rapid compensation and avoid power imbalance in the ship's power grid caused by load fluctuations of the refrigerated container group or changes in ship operating conditions.

[0079] Meanwhile, the collaborative decision-making unit can also generate coordinated adjustment commands for the main shaft-driven power generation equipment and auxiliary power generation equipment, enabling them to perform joint optimization based on the power compensation of the energy storage equipment, thereby achieving a global energy efficiency improvement on the power supply side.

[0080] Compared to existing technologies that rely solely on energy storage devices or employ only sequential control strategies, this embodiment features high-precision fusion of multi-source information and collaborative decision-making among multiple power sources. Its technical effect is to significantly enhance the scheduling capability and rapid power response capability of the ship's power grid under varying operating conditions. It not only improves the stability and redundancy of the power grid operation but also reduces energy consumption, achieving comprehensive optimization of the ship's power system in terms of safety, economy, and energy efficiency.

[0081] Example 5, as Figure 1 As shown, specifically:

[0082] The power distribution module further includes a feedback detection unit, which is electrically connected to the composite energy storage device, the main shaft-driven generator, and the auxiliary generator. The feedback detection unit is used to collect the output power parameters of the composite energy storage device, the main shaft-driven generator, and the auxiliary generator, and to return the output power parameters of the composite energy storage device, the main shaft-driven generator, and the auxiliary generator to the collaborative decision-making unit for verifying the execution effect of the generated power deviation compensation control command and adjustment command.

[0083] After receiving the output power parameters returned by the feedback detection unit, the collaborative decision-making unit compares the output power parameters of the composite energy storage device, the output power parameters of the main shaft generator and the output power parameters of the auxiliary generator with the target compensation power of the corresponding device and the expected power parameters corresponding to the adjustment command issued to the corresponding device through the central processing system, so as to obtain the operating deviation value and compensation deviation value of the corresponding device.

[0084] The operating deviation value is used to characterize the difference between the actual output power of the equipment and the target output power of the equipment, and the compensation deviation value is used to characterize the difference between the actual output power of the equipment and the target output power corresponding to the adjustment command;

[0085] When the central processing system detects that at least one of the operating deviation value and the compensation deviation value is greater than the corresponding preset deviation threshold, it triggers a secondary correction process. The central processing system generates a correction command and sends the correction command to the corresponding device for secondary adjustment of the composite energy storage device, the main shaft generator and the auxiliary generator.

[0086] The collaborative decision-making unit prioritizes obtaining the current energy storage state of charge parameters of the composite energy storage device, and compares the current energy storage state of charge parameters with a preset energy storage state of charge parameter safety threshold through the central processing system. When the current energy storage state of charge parameters are lower than the preset energy storage state of charge parameter safety threshold, the central processing system generates the correction instruction and sends the correction instruction to the composite energy storage device, the main shaft-driven generator, and the auxiliary generator to reduce the output power of the composite energy storage device and increase the output power of the main shaft-driven generator and the auxiliary generator.

[0087] When the current energy storage state of charge parameter is greater than or equal to the preset energy storage state of charge parameter safety threshold, the central processing system generates the correction instruction and sends the correction instruction to the composite energy storage device, the main shaft generator and the auxiliary generator to increase the output power of the composite energy storage device and reduce the output power of the main shaft generator and the auxiliary generator.

[0088] In this embodiment, the power allocation module implements a closed-loop regulation mechanism by introducing a feedback detection unit. Compared with schemes based solely on prediction and initial scheduling strategies, this embodiment can accurately identify the deviation between the equipment output power and the scheduling target power by comparing the target compensation power with the expected power parameters after collecting the output power parameters of the composite energy storage device, the main shaft generator, and the auxiliary generator, and trigger a secondary correction process when the deviation exceeds the limit.

[0089] Through this process, the central processing system can not only generate correction instructions in a timely manner, but also select the priority adjustment path by combining the energy storage state parameters of the composite energy storage device, thereby optimizing the division of labor between the composite energy storage device and the power generation device.

[0090] Furthermore, this embodiment enhances the power system's adaptability to load fluctuations and complex operating condition switching through a secondary correction mechanism. Its technical effect is to significantly enhance the adaptability of the ship's power grid, ensuring that the power grid can still maintain a balance between power supply and demand in scenarios such as large-scale parallel operation of refrigerated containers, sea state fluctuations, or sudden changes in main engine speed. At the same time, this solution avoids over-discharging or overcharging of the composite energy storage device by constraining the energy storage state-of-charge parameters of the composite energy storage device, thereby improving the service life and operational safety of the composite energy storage device.

[0091] The foregoing has shown and described the basic principles, main features, and advantages of this application. Those skilled in the art should understand that this application is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of this application. Various changes and modifications can be made to this application without departing from the spirit and scope thereof, and all such changes and modifications fall within the scope of this application as claimed. The scope of protection of this application is defined by the appended claims and their equivalents.

Claims

1. A hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships, characterized in that, This includes a working condition strategy module, a fluctuation suppression module, and a power distribution module; The operating condition strategy module is electrically connected to the ship radar navigation equipment and the ship identification system receiver. It is used to acquire ship position parameters and ship navigation status parameters, and to preprocess the ship position parameters and ship navigation status parameters through the central processing system to obtain ship operating condition information. The ship operating condition information is then sent to the power distribution module. The fluctuation suppression module is electrically connected to the refrigerator load detection component and is used to acquire the refrigerator load parameters and the load change trend parameters output by the load prediction model. The central processing system analyzes the refrigerator load parameters and the load change trend parameters to identify the risk of sudden changes in refrigerator load power, generates a load power sudden change warning signal, and converts the power sudden change warning signal into a compensation request instruction through the central processing system, and sends the compensation request instruction to the power distribution module. The power allocation module includes a multi-source information fusion unit and a collaborative decision-making unit; The multi-source information fusion unit is electrically connected to the ship's power grid load detector, main engine speed sensor, and energy storage charge status sensor. It acquires the ship's operating condition information through the central processing system and performs information fusion processing on the received ship operating condition information, ship's power grid load parameters, main engine speed parameters, and energy storage charge status parameters to obtain fused high-precision operating status information. The high-precision operating status information is then sent to the collaborative decision-making unit. The collaborative decision-making unit is electrically connected to the multi-source information fusion unit. Through the central processing system, based on the high-precision operating status information, upon receiving the compensation request command, it compares the ship's power grid load parameters with the load change trend parameters to obtain a power deviation value. It also compares the energy storage state-of-charge parameters with a preset state-of-charge threshold to determine the adjustable margin of the composite energy storage device. Based on the power deviation value and the adjustable margin, it calculates the target compensation power, generates a power deviation compensation control command, and adjusts the operating state of the composite energy storage device according to the power deviation compensation control command. Through the central processing system, based on the ship's operating condition information, the ship's power grid load parameters, the main engine speed parameters, and the energy storage state-of-charge parameters, it generates adjustment commands and uses these commands to adjust the operating state of the main engine shaft generator and auxiliary generator.

2. The hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships according to claim 1, characterized in that, The working condition strategy module includes a geofencing unit and a working condition identification unit; The geofence unit is pre-stored with typical working condition geographic boundary information based on electronic nautical charts; The operating condition identification unit is electrically connected to the ship radar navigation equipment and the ship identification system receiver. It is used to acquire ship position, speed and heading information. Through the central processing system, it preprocesses the ship position, speed and heading information to obtain preliminary operating conditions. It then matches and analyzes the preliminary operating conditions with the typical operating condition geographical boundary information pre-stored in the geofencing unit to determine the ship operating condition information. Finally, it sends the ship operating condition information to the power distribution module.

3. The hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships according to claim 1, characterized in that, The fluctuation suppression module includes a load data interface unit and a prediction calculation unit; The load data interface unit is electrically connected to the refrigerator load detection component and is used to transmit the refrigerator load parameters collected by the refrigerator load detection component to the prediction calculation unit. The prediction calculation unit is electrically connected to the load data interface unit. The prediction calculation unit has a built-in load prediction model, which is used to run the load prediction model based on the refrigerator load parameters, generate load change trend parameters, and send the refrigerator load parameters and the load change trend parameters to the central processing system. The central processing system analyzes the refrigerator load parameters and the load change trend parameters, identifies the risk of sudden changes in refrigerator load power, generates a load power sudden change warning signal, and converts the power sudden change warning signal into a compensation request instruction through the central processing system, and sends the compensation request instruction to the power distribution module.

4. The hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships according to claim 1, characterized in that, The power distribution module is specifically used for: When the collaborative decision-making unit receives the compensation request instruction, it prioritizes executing the power deviation compensation control instruction generated based on the compensation request instruction.

5. The hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships according to claim 1, characterized in that, The power distribution module further includes a feedback detection unit, which is electrically connected to the composite energy storage device, the main shaft-driven generator, and the auxiliary generator. The feedback detection unit is used to collect the output power parameters of the composite energy storage device, the main shaft-driven generator, and the auxiliary generator, and to return these parameters to the collaborative decision-making unit for verifying the execution effect of the generated power deviation compensation control command and adjustment command.

6. The hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships according to claim 5, characterized in that, The collaborative decision-making unit is specifically used for: After receiving the output power parameters returned by the feedback detection unit, the central processing system compares the output power parameters of the composite energy storage device, the output power parameters of the main shaft generator and the output power parameters of the auxiliary generator with the target compensation power of the corresponding device and the expected power parameters corresponding to the adjustment command issued to the corresponding device, respectively, to obtain the operating deviation value and compensation deviation value of the corresponding device. The operating deviation value is used to characterize the difference between the actual output power of the equipment and the target output power of the equipment, and the compensation deviation value is used to characterize the difference between the actual output power of the equipment and the target output power corresponding to the adjustment command; When the central processing system detects that at least one of the operating deviation value and the compensation deviation value is greater than the corresponding preset deviation threshold, it triggers a secondary correction process. The central processing system generates a correction command and sends the correction command to the corresponding device for secondary adjustment of the composite energy storage device, the main shaft generator and the auxiliary generator.

7. The hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships according to claim 6, characterized in that, The collaborative decision-making unit is specifically used for: The system prioritizes acquiring the current energy storage state of charge (PSC) parameters of the composite energy storage device, and then compares these parameters with a preset PSC safety threshold using the central processing system. When the current PSC parameters are lower than the preset PSC safety threshold, the central processing system generates a correction command and sends the correction command to the composite energy storage device, the main shaft-driven generator, and the auxiliary generator to reduce the output power of the composite energy storage device and increase the output power of the main shaft-driven generator and the auxiliary generator. When the current energy storage state of charge parameter is greater than or equal to the preset energy storage state of charge parameter safety threshold, the central processing system generates the correction instruction and sends the correction instruction to the composite energy storage device, the main shaft generator and the auxiliary generator to increase the output power of the composite energy storage device and reduce the output power of the main shaft generator and the auxiliary generator.

8. The hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships according to claim 2, characterized in that, The ship's operating condition information includes: At least one of the following: constant speed navigation in open sea, maneuvering navigation in and out of port, low speed navigation in congested waters, loading and unloading operations, berthing and standby in port, and shore power access.

9. The hybrid power efficiency optimization system for shaft-driven power generation and energy storage under multiple operating conditions on container ships according to claim 2, characterized in that, The operating condition strategy module configures a corresponding basic power allocation strategy for each type of ship operating condition information.

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