Ship integrated energy storage control system, method, medium, program product and terminal

Abstract

This application provides a ship integrated energy storage control system, method, medium, program product, and terminal. Through deep fusion of multi-source heterogeneous data and global system state perception, this application provides comprehensive and accurate data support for control decisions. This application deeply integrates high-precision short-term load monitoring with a multi-objective optimization prediction model, transforming energy storage actions from reactive response to proactive planning, significantly improving the accuracy and economy of peak shaving and valley filling in ship power grids. Through an operating condition type identification model and control logic matching method, this application can automatically identify ship operating conditions such as navigation, operation, maneuvering, and berthing, and automatically match the corresponding control logic without manual switching, improving system intelligence and reducing maintenance pressure. This application adopts a multi-source collaborative control architecture, changing the existing independent or passive operation mode of ship energy storage systems, thereby achieving active collaboration between the control management module and multi-source power generation equipment.

Description

Technical Field

[0001] This application relates to the field of energy storage control technology, and in particular to integrated energy storage control systems, methods, media, program products and terminals for ships. Background Technology

[0002] Currently, marine energy storage systems are still in the early stages of promotion, with most systems using independent battery cabinets to provide limited backup power or short-term power support. Existing marine energy storage control systems suffer from the following significant technical deficiencies: Firstly, the control system has a single function, primarily acting as a passive execution unit of the ship's Power Management System (PMS), lacking the ability to actively coordinate and control multiple power generation devices such as main / auxiliary generators, shaft generators, and renewable energy equipment. Secondly, at the data processing level, deep fusion of multi-source heterogeneous data and comprehensive system status perception have not been achieved, failing to provide comprehensive and accurate data support for control decisions. Thirdly, at the scheduling strategy level, intelligent scheduling methods based on real-time load forecasting and global optimization models are lacking, making it difficult to dynamically achieve peak shaving and valley filling of the ship's power grid and optimize overall energy efficiency, leading to equipment maintenance problems caused by equipment fluctuations.

[0003] Existing technical solutions initially involve the concept of synergy between energy storage and power generation equipment, but they suffer from high costs and their system architecture and control logic are not fully compatible with the domestic ship power system, making it impossible to promote and apply them on a large scale in the domestic shipbuilding industry.

[0004] Therefore, it is necessary to provide a comprehensive energy storage control system with multi-source active coordinated regulation capability to solve the above-mentioned problems in the existing technology. Summary of the Invention

[0005] In view of the shortcomings of the prior art, the present invention provides a ship integrated energy storage control system, method, medium, program product and terminal to solve at least one of the technical problems in the prior art.

[0006] To achieve the above and other related objectives, a first aspect of this application provides a ship integrated energy storage control system, comprising: a multi-source power generation module, an energy storage system module, a ship power grid module, and a control and management module; the multi-source power generation module is connected to the ship power grid module, the energy storage system module is connected to the ship power grid module, and the control and management module is connected to the multi-source power generation module, the energy storage system module, and the ship power grid module respectively; wherein: the multi-source power generation module is used to generate electricity and supply electrical energy to the ship power grid module; the energy storage system module is used to store electrical energy and supply electrical energy to the ship power grid module; the energy storage system module includes a battery; the ship power grid module is used to supply power to the ship's load; the control and management module is used to acquire in real time the output parameters of the multi-source power generation module, the power parameters of the ship power grid module, and the status parameters of the battery, forming a multi-source heterogeneous dataset, and performing ship operating condition identification and power grid load analysis based on the multi-source heterogeneous dataset to optimize scheduling decisions, and generating scheduling instructions to send to the multi-source power generation module and the energy storage system module.

[0007] In some embodiments of the first aspect of this application, the process of identifying ship operating conditions and analyzing power grid load based on a multi-source heterogeneous dataset to optimize scheduling decisions and generate scheduling instructions includes: determining the type of the current ship operating condition using an operating condition type identification model based on the multi-source heterogeneous dataset, and matching the corresponding control logic in a preset operating condition control logic library according to the determined type of the current ship operating condition; extracting features based on the multi-source heterogeneous dataset to obtain load spectrum features under the current ship operating condition, performing power grid load analysis based on the load spectrum features using a multi-objective optimization prediction model to obtain a peak power grid load prediction result; generating a scheduling decision based on the peak power grid load prediction result and the control logic under the current ship operating condition, and generating corresponding scheduling instructions based on the scheduling decision; wherein, the scheduling instructions include load regulation instructions and charging / discharging control instructions.

[0008] In some embodiments of the first aspect of this application, the multi-source power generation module includes a diesel generator unit, a shaft-driven generator unit, and a waste heat power generation unit; the multi-source power generation module includes a diesel generator control unit, a shaft-driven generator control unit, and a waste heat power generation control unit; wherein the diesel generator control unit is connected to the diesel generator unit, the shaft-driven generator control unit is connected to the shaft-driven generator unit, and the waste heat power generation control unit is connected to the waste heat power generation unit.

[0009] In some embodiments of the first aspect of this application, the energy storage system module further includes a battery management system and an energy storage converter; the battery is connected to the ship's power grid module via the energy storage converter; the battery management system is used to monitor the status parameters of the battery in real time and send the status parameters of the battery to the control management module; the battery management system is also used to receive scheduling instructions sent by the control management module and control the energy storage converter to perform charging or discharging actions according to the scheduling instructions.

[0010] In some embodiments of the first aspect of this application, the multi-objective optimization prediction model includes: ship fuel consumption, ship grid load power, power generation equipment output power, energy storage system charging and discharging power, energy storage system state of charge, and equipment operation and maintenance information.

[0011] In some embodiments of the first aspect of this application, the energy storage system module further includes a supercapacitor bank; the supercapacitor bank is used to store the electrical energy of the multi-source power generation module.

[0012] To achieve the above and other related objectives, a second aspect of this application provides a ship integrated energy storage control method, applied to the aforementioned ship integrated energy storage control system. The method includes: real-time acquisition of output parameters from multi-source power generation modules, power parameters from the ship's power grid module, and state parameters of the battery, forming a multi-source heterogeneous dataset; performing grid load analysis and ship operating condition identification based on the multi-source heterogeneous dataset to optimize scheduling decisions; and generating scheduling instructions to send to the multi-source power generation modules and the energy storage system module. The process of performing ship operating condition identification and grid load analysis based on the multi-source heterogeneous dataset to optimize scheduling decisions and generate scheduling instructions includes: determining the operating condition type using an operating condition type identification model based on the multi-source heterogeneous dataset. The current ship operating condition type is determined, and the corresponding control logic is matched in the preset operating condition control logic library according to the determined current ship operating condition type. Feature extraction is performed based on a multi-source heterogeneous dataset to obtain the load spectrum characteristics under the current ship operating condition. Based on the load spectrum characteristics, a multi-objective optimization prediction model is used to analyze the power grid load and obtain the peak load prediction result. Based on the peak load prediction result and control logic under the current ship operating condition, a scheduling decision is generated, and a corresponding scheduling instruction is generated according to the scheduling decision. The scheduling instruction includes load regulation instructions and charging / discharging control instructions. The load spectrum characteristics include the load size distribution characteristics, load fluctuation pattern characteristics, and load change trend characteristics under the current ship operating condition.

[0013] To achieve the above and other related objectives, a third aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the ship integrated energy storage control method.

[0014] To achieve the above and other related objectives, a fourth aspect of this application provides a computer program product comprising computer program code, which, when executed on a computer, enables the computer to implement the ship integrated energy storage control method.

[0015] To achieve the above and other related objectives, a fifth aspect of this application provides an electronic terminal, including a memory, a processor, and a computer program stored in the memory; the processor executes the computer program to implement the ship integrated energy storage control method.

[0016] As described above, the integrated ship energy storage control system, method, medium, program product, and terminal provided in this application have the following beneficial effects:

[0017] (1) This application provides comprehensive and accurate data support for control decisions through deep fusion of multi-source heterogeneous data and global system state perception, thereby improving the stability and controllability of ship power system operation.

[0018] (2) This application deeply integrates high-precision short-term load monitoring with multi-objective optimization prediction model, so that the energy storage action changes from ex-post response to ex-ante planning, which significantly improves the accuracy and economy of peak shaving and valley filling of ship power grid.

[0019] (3) This application can automatically identify the operating conditions of a ship, such as navigation, operation, maneuvering, and berthing, through the working condition type identification model and control logic matching method, and automatically match the corresponding control logic without manual switching, thereby improving the intelligence level of the system and reducing the pressure of operation and maintenance.

[0020] (4) This application improves the reliability of the power grid through high-precision scheduling decisions, making the power grid operation more stable, suppressing frequency and voltage deviations, and reducing the risk of oscillations and collapses. It also reduces vibration, extends equipment life, reduces faults, reduces power outage losses, and directly reduces operation and maintenance costs.

[0021] (5) This application adopts a multi-source collaborative control architecture, which changes the existing ship energy storage system’s independent or passive operation mode, thereby realizing the active collaboration between the control management module and multi-source power generation equipment, and optimizing the energy flow from the overall perspective of the ship system, improving ship energy efficiency, and adapting to the diversified power generation needs of ships. Attached Figure Description

[0022] Figure 1 The diagram shown is a structural schematic of a ship integrated energy storage control system according to an embodiment of this application.

[0023] Figure 2 The figure shown is a specific embodiment of a ship integrated energy storage control system according to one embodiment of this application.

[0024] Figure 3 The diagram shown is a flowchart illustrating a scheduling instruction generation process in one embodiment of this application.

[0025] Figure 4 The diagram shown is a structural schematic of an electronic terminal according to an embodiment of this application. Detailed Implementation

[0026] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0027] In the embodiments of this application, the terms "first" and "second" are used to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that the terms "first" and "second" do not necessarily imply that they are different.

[0028] It should be noted that, in the embodiments of this application, the words "exemplary" or "for example" indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0029] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0030] Before providing a further detailed description of the present invention, the nouns and terms used in the embodiments of the present invention are explained, and the nouns and terms used in the embodiments of the present invention are subject to the following interpretations:

[0031] <1> SOC (State of Charge): This is an important parameter in the field of electrochemical energy storage. It refers to the percentage of actual charge in the energy storage medium relative to the rated energy storage capacity, directly reflecting the remaining capacity of the battery.

[0032] <2> SOF (State of Function): An indicator describing the functional state of a battery, providing a comprehensive evaluation of the overall functional state of the battery.

[0033] To facilitate understanding of the embodiments of this application, firstly, in conjunction with Figure 1 Detailed explanation. Figure 1 A schematic diagram of a ship integrated energy storage control system according to an embodiment of the present invention is shown. The ship integrated energy storage control system in this embodiment mainly includes: a multi-source power generation module 110, an energy storage system module 120, a ship power grid module 130, and a control and management module 140. The multi-source power generation module 110 is connected to the ship power grid module 130, the energy storage system module 120 is connected to the ship power grid module 130, and the control and management module 140 is connected to the multi-source power generation module 110, the energy storage system module 120, and the ship power grid module 130 respectively.

[0034] It should be noted that this embodiment constructs a multi-source collaborative control architecture for a ship integrated energy storage control system based on multi-source collaborative control. The control management module collects and analyzes ship data, generates corresponding control commands, and sends the control commands to the multi-source power generation module, energy storage system module, and ship power grid module. This changes the existing independent or passive operation mode of ship energy storage systems, thereby realizing active collaboration between the control management module and multi-source power generation equipment, optimizing energy flow from the global perspective of the ship system, improving ship energy efficiency, and adapting to the diversified power generation needs of ships.

[0035] like Figure 1 As shown, the multi-source power generation module 110 is used to generate electricity and supply electrical energy to the ship's power grid module 130.

[0036] In one embodiment of this application, the multi-source power generation module 110 includes a diesel generator unit 111, a shaft-driven power generation unit 112, and a waste heat power generation unit 113; the multi-source power generation module 110 includes a diesel generator control unit 114, a shaft-driven power generation control unit 115, and a waste heat power generation control unit 116; wherein, the diesel generator control unit 114 is connected to the diesel generator unit 111, the shaft-driven power generation control unit 115 is connected to the shaft-driven power generation unit 112, and the waste heat power generation control unit 116 is connected to the waste heat power generation unit 113. Each power generation unit corresponds to a control unit, such as the diesel generator unit 111 corresponding to the diesel generator control unit 114, the shaft-driven power generation unit 112 corresponding to the shaft-driven power generation control unit 115, and the waste heat power generation unit 113 corresponding to the waste heat power generation control unit 116. The multi-source power generation module 110 includes various combinations of the above-mentioned power generation methods. For example, the diesel power generation unit 111, the shaft power generation unit 112, and the waste heat power generation unit 113 are combined to form the multi-source power generation module 110. The diesel power generation unit 111 and the shaft power generation unit 112 are combined to form the multi-source power generation module 110. The diesel power generation unit 111 and the waste heat power generation unit 113 are combined to form the multi-source power generation module 110, etc. There is no limitation here, and the selection is based on actual needs.

[0037] Specifically, the diesel generator control unit 114 and the control management module 140 are connected via an analog signal link, using analog voltage or current signals for transmission and interaction to achieve control command transmission. The shaft generator control unit 115 and the control management module 140 are connected via an RS485 communication interface, using the RS485 bus protocol for data interaction and control command transmission. The surplus generator control unit 116 and the control management module 140 are connected via an RS485 communication interface, using the RS485 bus protocol for data interaction and control command transmission. The diesel generator control unit 114, shaft generator control unit 115, and surplus generator control unit 116 respectively receive control commands from the control management module 140, achieving precise control of the output status of the corresponding generator equipment.

[0038] The diesel generator unit 111 is a diesel generator used for generating electricity by burning diesel fuel. The shaft-driven generator unit 112 is a shaft-driven generator used for generating electricity under the drive of an engine. The waste heat power generation unit 113 is a waste heat generator used for recovering heat energy and converting it into electricity.

[0039] The multi-source power generation module 110 also includes a new energy power generation unit, which includes, but is not limited to, new energy power generation devices such as photovoltaic power generation and wind power generation. Specifically, in addition to the above-mentioned power generation methods, the multi-source power generation module 110 also includes other power generation methods, such as new energy power generation methods, combining the new energy power generation unit with the above-mentioned power generation units to form the multi-source power generation module 110. Each generator or power generation device is connected to the ship's power grid module to transmit electrical energy through the ship's power grid. This embodiment improves energy utilization efficiency through diversified power generation. The power generation methods in the multi-source power generation module 110 are not limited and are set according to actual needs.

[0040] like Figure 1 As shown, the energy storage system module 120 stores electrical energy and supplies it to the ship's power grid module 130. The energy storage system module 120 includes a battery 121. It also includes a battery management system 122 and an energy storage converter 123. The battery 121 and the ship's power grid module 130 are connected via the energy storage converter 123. The battery management system 122 monitors the status parameters of the battery 121 in real time and sends these parameters to the control management module 140. The battery management system 122 also receives scheduling commands from the control management module 140 and controls the energy storage converter 123 to perform charging or discharging actions according to the commands. The energy storage converter 123 receives the current output from the battery 121, converts it, and outputs the current. The energy storage converter 123 is the energy conversion hub between the battery 121 and the ship's power grid module 130, enabling grid-connected charging and discharging of the battery and completing peak shaving and valley filling energy regulation of the power grid.

[0041] Specifically, the battery management system 122 and the control management module 140 are connected via an RS485 communication interface. The battery management system 122 is connected to the battery 121, the battery 121 is connected to the energy storage converter 123, the energy storage converter 123 is connected to the ship's electrical grid module 130, and the energy storage converter 123 is also connected to the battery management system 122. Energy conversion is achieved by connecting the battery 121 and the ship's electrical grid module 130 through the energy storage converter 123.

[0042] In some examples, the energy storage system module 120 further includes a supercapacitor bank; the supercapacitor bank is used to store the electrical energy of the multi-source power generation module. The energy storage system can improve the safety and stability of the ship's electrical grid system and can also serve as a temporary emergency power source to provide emergency power to ship loads.

[0043] Specifically, such as Figure 2As shown, the supercapacitor bank includes several supercapacitors, each corresponding to a power generation unit. For example, the supercapacitor bank includes supercapacitor 1, supercapacitor 2, and supercapacitor 3. Supercapacitor 1 is connected to diesel generator unit 111, supercapacitor 2 is connected to shaft generator unit 112, and supercapacitor 3 is connected to waste heat power generation unit 113. The supercapacitors are used to store the electrical energy converted by the diesel generator unit 111, shaft generator unit 112, and waste heat power generation unit 113.

[0044] It should be noted that in this application, the ship's power grid module is connected to the diesel generator, shaft generator, and waste heat generator, while the energy storage system module is simultaneously connected to the ship's power grid module, forming a power architecture with multi-source power supply and energy storage regulation. Control commands are sent to the energy storage system module and the multi-source power generation module through corresponding communication methods to achieve multi-source coordinated regulation.

[0045] like Figure 1 As shown, the ship's electrical grid module 130 is used to supply power to the ship's loads. These loads include lighting equipment, cabin fans, electric heaters, local area network equipment, navigation equipment, navigation aids, radio equipment, navigation lights, and signal lights. The ship's electrical grid module is equipped with a multi-function meter, voltage and current transformers, and other data acquisition devices to collect real-time power parameters of the module 130, such as voltage, frequency, and real-time load parameters, and then transmit these parameters to the control and management module 140.

[0046] like Figure 1 As shown, the control and management module 140 is used to acquire the output parameters of the multi-source power generation module 110, the power parameters of the ship's power grid module 130, and the status parameters of the battery in real time, forming a multi-source heterogeneous dataset. Based on the multi-source heterogeneous dataset, the module performs ship operating condition identification and power grid load analysis to optimize scheduling decisions and generates scheduling instructions to send to the multi-source power generation module and the energy storage system module.

[0047] The output parameters of the multi-source power generation module 110 include real-time output parameters of power generation equipment such as diesel generators, shaft generators, and waste heat generators; the power parameters of the ship's power grid module 130 include voltage, frequency, and real-time load parameters; the state parameters of the battery include SOC and SOF. These data ultimately constitute a multi-source heterogeneous dataset, providing data support for scheduling decisions.

[0048] In one embodiment of this application, as Figure 3 As shown, the process of identifying ship operating conditions and analyzing power grid load based on multi-source heterogeneous datasets to optimize dispatching decisions and generate dispatching instructions includes:

[0049] Step S31: Determine the type of the current ship's operating condition using the operating condition type identification model based on the multi-source heterogeneous dataset, and match the corresponding control logic in the preset operating condition control logic library according to the determined type of the current ship's operating condition.

[0050] The ship operating conditions include: navigation, operation, maneuvering, and berthing. Inputting multi-source heterogeneous datasets into the operating condition type identification model can determine the current ship operating condition. Different ship operating conditions correspond to different control logics. The preset operating condition control logic library includes: berthing condition matching low-load stability control logic to prioritize the reasonable charging and discharging of the energy storage system; navigation condition matching dynamic load adjustment logic to prioritize grid frequency and voltage stability; and maneuvering condition matching instantaneous load response logic to quickly respond to load changes. This application automatically identifies ship navigation, operation, maneuvering, and berthing operating conditions and automatically matches the corresponding control logic, eliminating the need for manual switching, thus improving system intelligence and reducing maintenance pressure.

[0051] Step S32: Analyze the multi-source heterogeneous dataset to obtain the load spectrum characteristics under the current ship operating conditions. Based on the load spectrum characteristics, perform grid load analysis based on a multi-objective optimization prediction model to obtain the grid load peak prediction results. The multi-objective optimization prediction model includes: ship fuel consumption, ship grid load power, power generation equipment output power, energy storage system charging and discharging power, energy storage system state of charge, and equipment operation and maintenance information.

[0052] Specifically, the process of analyzing multi-source heterogeneous datasets to obtain load spectrum characteristics under the current ship operating conditions includes: performing real-time load analysis on the multi-source heterogeneous datasets to obtain real-time load status data, and extracting features based on the real-time load status data and the current ship operating conditions to obtain load spectrum characteristics. These load spectrum characteristics include the load magnitude distribution characteristics, load fluctuation patterns, and load change trend characteristics under the current ship operating conditions.

[0053] Then, based on the load spectrum characteristics and time series analysis methods, the load spectrum characteristics are input into a multi-objective optimization prediction model to obtain the peak load prediction results for the power grid. These peak load prediction results include the peak load occurrence time, peak load value, and peak duration. The time series analysis method is used to uncover the temporal variation patterns of the power grid load, including the analysis of load change trends, load fluctuation cycles, and load rise / fall rates.

[0054] The construction method of the multi-objective optimization prediction model includes: taking the reduction of ship fuel consumption, smoothing of grid load, and optimization of the operating status of power generation and energy storage equipment as optimization objectives, constructing objective functions based on ship fuel consumption, ship grid load power, power generation output power, energy storage system charging and discharging power, energy storage system state of charge, and equipment operation and maintenance information. Specifically, the objective functions include minimizing ship fuel consumption, minimizing ship grid load power, constraining the output power of power generation equipment, constraining the charging and discharging power of the energy storage system, setting upper and lower limits for the energy storage system state of charge, and minimizing equipment operation and maintenance costs. Using a multi-objective optimization solution method combined with time series analysis, the load spectrum characteristics are input into the multi-objective optimization prediction model to obtain the peak load prediction results for the power grid.

[0055] Step S33: Based on the peak load forecast results and control logic of the power grid under the current ship operating conditions, a scheduling decision is generated, and a corresponding scheduling instruction is generated according to the scheduling decision; wherein, the scheduling instruction includes a load regulation instruction and a charging and discharging control instruction. The load regulation instruction is sent to the multi-source power generation module 110 so that the diesel generator unit 111, the shaft generator unit 112, and the waste heat power generation unit 113 can perform output adjustment operations. The charging and discharging control instruction is sent to the energy storage system module 120 so as to control the energy storage converter 123 to perform charging or discharging actions. Specifically, the output of the multi-source generator is reduced, and the energy storage converter of the energy storage system module is controlled to connect to the power grid in discharge mode, that is, the battery outputs electrical energy to the ship's power grid, smoothing the peak load of the power grid and realizing peak shaving. This embodiment, through multi-source data acquisition, power grid load analysis, automatic operating condition identification, optimized scheduling decision and energy storage charging and discharging control, makes energy storage action change from ex-post response to ex-ante planning, automatically matching the ship's full operating condition needs.

[0056] For example, load control commands regulate the output of various multi-source power generation equipment, such as diesel generators, shaft-driven generators, and waste heat generators, in real time. When the grid load increases, the commands control the power generation equipment to increase output, such as by increasing the speed of diesel generators, increasing fuel supply, or increasing the coupling of shaft-driven generators. When the grid load decreases, the commands control the power generation equipment to reduce output to avoid over- or under-generation, while also considering optimization goals such as fuel consumption and equipment wear. Alternatively, when the load is low during port operations, the commands may shut down some diesel generators, keeping only a small number of units powered or relying on energy storage systems. When the load surges during navigation operations, the commands may activate standby power generation equipment to supplement output and ensure load supply.

[0057] It should be noted that the multi-source power generation module 110 receives the control and management module 140's regulation instructions to control the output status of the corresponding power generation equipment. The energy storage system module 120 receives the charging and discharging control instructions to control the energy storage converter 123 to complete the charging and discharging actions between the battery and the ship's power grid. The control and management module 140 analyzes multi-source heterogeneous data such as grid load and voltage frequency to determine the optimal access time for the energy storage system, thereby achieving precise peak shaving and valley filling for the ship's power grid.

[0058] Furthermore, the control and management module 140 collects in real time the load, voltage, and frequency parameters of the ship's power grid after regulation according to the control instructions, as well as the operating data of the battery and each generator. After the power grid load is found to have returned to normal level, the above steps are used to dynamically update the scheduling decision, control the energy storage converter to stop discharging, and adjust each generator to restore its rated output to complete one peak shaving regulation. Then, the above steps are continuously repeated to achieve adaptive and coordinated regulation.

[0059] For example, when a ship switches to berthing mode, the control management module identifies the operating condition and matches the control logic for berthing mode. At this time, the ship's load is low, so the control management module controls the multi-source power generation equipment to reduce its output, and at the same time controls the energy storage converter to connect to the ship's power grid in charging mode, storing the excess power of the ship's power grid into the battery, thus achieving valley filling, reducing fuel consumption, improving system energy efficiency, and reducing equipment operating pressure.

[0060] In one embodiment of this application, the control management module 140 is further provided with a universal interface for connecting with different types of ship power management systems. This universal interface enables seamless integration of the system with various ship power management systems, resulting in strong system scalability. This application constructs a globally optimized multi-source collaborative control architecture, improving the accuracy and economy of peak shaving and valley filling in the ship power grid. It features high system integration, open interfaces, and compatibility with domestic ship systems, making it highly scalable. This application achieves global energy optimization scheduling of the ship power system, improves the accuracy of peak shaving and valley filling in the energy storage system and the overall energy efficiency of the ship, and reduces the operational and maintenance pressure on ship equipment.

[0061] It should be emphasized that the integrated ship energy storage control method provided in this application has the following beneficial effects:

[0062] (1) This application provides comprehensive and accurate data support for control decisions through deep fusion of multi-source heterogeneous data and global system state perception, thereby improving the stability and controllability of ship power system operation.

[0063] (2) This application deeply integrates high-precision short-term load monitoring with multi-objective optimization prediction model, so that the energy storage action changes from ex-post response to ex-ante planning, which significantly improves the accuracy and economy of peak shaving and valley filling of ship power grid.

[0064] (3) This application can automatically identify the operating conditions of a ship, such as navigation, operation, maneuvering, and berthing, through the working condition type identification model and control logic matching method, and automatically match the corresponding control logic without manual switching, thereby improving the intelligence level of the system and reducing the pressure of operation and maintenance.

[0065] (4) This application improves the reliability of the power grid through high-precision scheduling decisions, making the power grid operation more stable, suppressing frequency and voltage deviations, and reducing the risk of oscillations and collapses. It also reduces vibration, extends equipment life, reduces faults, reduces power outage losses, and directly reduces operation and maintenance costs.

[0066] (5) This application adopts a multi-source collaborative control architecture, which changes the existing ship energy storage system’s independent or passive operation mode, thereby realizing the active collaboration between the control management module and multi-source power generation equipment, and optimizing the energy flow from the overall perspective of the ship system, improving ship energy efficiency, and adapting to the diversified power generation needs of ships.

[0067] This application provides a method for controlling integrated energy storage on ships, which includes the following steps:

[0068] The system acquires the output parameters of the multi-source power generation module, the power parameters of the ship's power grid module, and the status parameters of the battery in real time, forming a multi-source heterogeneous dataset. Based on the multi-source heterogeneous dataset, it performs power grid load analysis and ship operating condition identification to optimize scheduling decisions and generate scheduling instructions to send to the multi-source power generation module and the energy storage system module.

[0069] It should be understood that the specific process of performing the above-mentioned steps has been described in detail in the above system embodiments, and will not be repeated here for the sake of brevity.

[0070] It should also be understood that the module division in the embodiments of this application is illustrative and only represents a logical functional division; in actual implementation, there may be other division methods. Furthermore, the functional modules in the various embodiments of this application can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0071] Figure 4 This is a schematic block diagram of the electronic terminal provided in an embodiment of this application. Figure 4As shown, the electronic terminal 400 includes at least one processor 401, a memory 402, at least one network interface 403, and a user interface 405. The various components in the electronic terminal 400 are coupled together via a bus system 404. It is understood that the bus system 404 is used to implement communication between these components. In addition to a data bus, the bus system 404 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in… Figure 4 The general will label all buses as bus systems.

[0072] The user interface 405 may include a monitor, keyboard, mouse, trackball, clicker, button, touchpad, or touch screen.

[0073] It is understood that memory 402 can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM) or programmable read-only memory (PROM), which serves as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (SRAM) and synchronous static random access memory (SSRAM). The memories described in the embodiments of this invention are intended to include, but are not limited to, these and any other suitable categories of memory.

[0074] In this embodiment of the invention, the memory 402 is used to store various types of data to support the operation of the electronic terminal 400. Examples of this data include any executable program for operation on the electronic terminal 400, such as the operating system 4021 and application program 4022; the operating system 4021 contains various system programs, such as the framework layer, core library layer, driver layer, etc., for implementing various basic services and handling hardware-based tasks. The application program 4022 may contain various applications, such as a media player, browser, etc., for implementing various application services. The ship integrated energy storage control method provided in this embodiment of the invention can be included in the application program 4022.

[0075] The methods disclosed in the above embodiments of the present invention can be applied to processor 401, or implemented by processor 401. Processor 401 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 401 or by instructions in the form of software. The processor 401 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 401 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. General-purpose processor 401 may be a microprocessor or any conventional processor, etc. The steps of the accessory optimization method provided in the embodiments of the present invention can be directly reflected as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium, which is located in a memory. The processor reads the information in the memory and combines it with its hardware to complete the steps of the aforementioned method.

[0076] In an exemplary embodiment, the electronic terminal 400 may be used to execute the aforementioned method by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), or complex programmable logic devices (CPLDs).

[0077] According to the method provided in the embodiments of this application, this application also provides a computer program product, which includes: computer program code, which, when run on a computer, causes the computer to perform the method of any of the embodiments described above.

[0078] According to the method provided in the embodiments of this application, this application also provides a computer-readable storage medium storing program code, which, when run on a computer, causes the computer to perform the method of any of the embodiments described above.

[0079] As used in this specification, the terms "component," "module," "system," etc., are used to refer to computer-related entities, hardware, firmware, combinations of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program, and / or a computer. As illustrated, applications running on computing devices and computing devices can both be components. One or more components may reside in a process and / or an execution thread, and components may be located on a single computer and / or distributed among two or more computers. Furthermore, these components can be executed from various computer-readable media on which various data structures are stored. Components can communicate, for example, via local and / or remote processes based on signals having one or more data packets (e.g., data from two components interacting with another component between a local system, a distributed system, and / or a network, such as the Internet interacting with other systems via signals).

[0080] Those skilled in the art will recognize that the various illustrative logical blocks and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0081] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0082] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0083] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0084] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0085] In the above embodiments, the functions of each functional unit can be implemented entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. A computer program product includes one or more computer instructions (programs). When the computer program instructions (programs) are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs (DVDs)), or semiconductor media (e.g., solid-state disks (SSDs)).

[0086] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0087] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0088] In summary, the integrated ship energy storage control system, method, medium, program product, and terminal provided in this application include: a multi-source power generation module, an energy storage system module, a ship power grid module, and a control and management module; the multi-source power generation module is connected to the ship power grid module, the energy storage system module is connected to the ship power grid module, and the control and management module is connected to the multi-source power generation module, the energy storage system module, and the ship power grid module respectively; wherein: the multi-source power generation module is used to generate electricity and supply it to the ship power grid module; the energy storage system module is used to store electrical energy and supply it to the ship power grid module; the energy storage system module includes a battery; the ship power grid module is used to supply power to the ship's load; the control and management module is used to acquire the output parameters of the multi-source power generation module, the power parameters of the ship power grid module, and the status parameters of the battery in real time, forming a multi-source heterogeneous dataset, and performing ship operating condition identification and power grid load analysis based on the multi-source heterogeneous dataset to optimize scheduling decisions, and generating scheduling instructions to send to the multi-source power generation module and the energy storage system module.

[0089] This application provides comprehensive and accurate data support for control decisions through deep fusion of multi-source heterogeneous data and global system state perception, improving the stability and controllability of ship power system operation. This application deeply integrates high-precision short-term load monitoring with multi-objective optimization prediction models, transforming energy storage actions from post-event response to pre-event planning, significantly improving the accuracy and economy of peak shaving and valley filling in ship power grids. This application, through operating condition type identification models and control logic matching methods, can automatically identify ship operating conditions such as navigation, operation, maneuvering, and berthing, and automatically match corresponding control logic without manual switching, improving system intelligence and reducing maintenance pressure. This application improves grid reliability through high-precision scheduling decisions, resulting in smoother grid operation, suppressing frequency and voltage deviations, and reducing the risk of oscillations and collapses. Furthermore, it reduces vibration, extends equipment life, reduces faults, lowers power outage losses, and directly reduces maintenance costs. This application adopts a multi-source collaborative control architecture, changing the existing independent or passive operation mode of ship energy storage systems. This enables active collaboration between the control and management module and multi-source power generation equipment, optimizes energy flow from a global system perspective, improves ship energy efficiency, and adapts to the diverse power generation needs of ships. Therefore, this application effectively overcomes the various shortcomings of existing technologies and has high industrial application value.

[0090] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A ship integrated energy storage control system, characterized in that, include: The system comprises a multi-source power generation module, an energy storage system module, a shipboard electrical grid module, and a control and management module; the multi-source power generation module is connected to the shipboard electrical grid module, the energy storage system module is connected to the shipboard electrical grid module, and the control and management module is connected to the multi-source power generation module, the energy storage system module, and the shipboard electrical grid module respectively; wherein: The multi-source power generation module is used to generate electricity and supply electrical energy to the ship's power grid module; The energy storage system module is used to store electrical energy and supply it to the ship's electrical grid module; the energy storage system module includes a battery. The ship's electrical grid module is used to supply power to the ship's loads; The control and management module is used to acquire in real time the output parameters of the multi-source power generation module, the power parameters of the ship's power grid module, and the status parameters of the battery, forming a multi-source heterogeneous dataset. Based on the multi-source heterogeneous dataset, the module performs ship operating condition identification and power grid load analysis to optimize scheduling decisions and generate scheduling instructions to send to the multi-source power generation module and the energy storage system module. The process of identifying ship operating conditions and analyzing power grid load based on the multi-source heterogeneous dataset to optimize scheduling decisions and generate scheduling instructions includes: determining the current ship operating condition type using an operating condition type identification model based on the multi-source heterogeneous dataset, and retrieving the determined type from a preset operating condition control logic library. The system matches the current ship operating condition type with the corresponding control logic; it extracts features based on a multi-source heterogeneous dataset to obtain the load spectrum characteristics under the current ship operating condition; it then performs grid load analysis based on the load spectrum characteristics using a multi-objective optimization prediction model to obtain the grid load peak prediction result; based on the grid load peak prediction result and control logic under the current ship operating condition, it generates a scheduling decision, and generates corresponding scheduling instructions based on the scheduling decision; wherein, the scheduling instructions include load regulation instructions and charging / discharging control instructions; the load spectrum characteristics include the load size distribution characteristics, load fluctuation pattern characteristics, and load change trend characteristics under the current ship operating condition.

2. The ship integrated energy storage control system according to claim 1, characterized in that, The multi-source power generation module includes a diesel generator unit, a shaft-driven generator unit, and a waste heat power generation unit; the multi-source power generation module includes a diesel generator control unit, a shaft-driven generator control unit, and a waste heat power generation control unit; wherein, the diesel generator control unit is connected to the diesel generator unit, the shaft-driven generator control unit is connected to the shaft-driven generator unit, and the waste heat power generation control unit is connected to the waste heat power generation unit.

3. The ship integrated energy storage control system according to claim 1, characterized in that, The energy storage system module also includes a battery management system and an energy storage converter; the battery is connected to the ship's power grid module through the energy storage converter; the battery management system is used to monitor the status parameters of the battery in real time and send the status parameters of the battery to the control management module; the battery management system is also used to receive the scheduling instructions sent by the control management module and control the energy storage converter to perform charging or discharging actions according to the scheduling instructions.

4. The ship integrated energy storage control system according to claim 1, characterized in that, The multi-objective optimization prediction model includes: ship fuel consumption, ship grid load power, power generation equipment output power, energy storage system charging and discharging power, energy storage system state of charge, and equipment operation and maintenance information.

5. The ship integrated energy storage control system according to claim 1, characterized in that, The energy storage system module also includes a supercapacitor bank; the supercapacitor bank is used to store the electrical energy of the multi-source power generation module.

6. A method for integrated energy storage control on ships, characterized in that, The method, applied to a ship integrated energy storage control system as described in any one of claims 1 to 5, comprises: The system acquires output parameters from multi-source power generation modules, power parameters from the ship's power grid module, and status parameters from the battery in real time, forming a multi-source heterogeneous dataset. Based on this dataset, it performs grid load analysis and ship operating condition identification to optimize scheduling decisions and generate scheduling instructions, which are then sent to the multi-source power generation modules and the energy storage system module. The process of identifying ship operating conditions and performing grid load analysis based on the multi-source heterogeneous dataset to optimize scheduling decisions and generate scheduling instructions includes: determining the current ship operating condition type using an operating condition type identification model based on the multi-source heterogeneous dataset, and then retrieving the determined ship operating condition from a preset operating condition control logic library. The control logic is matched to the type of operating condition; the load spectrum characteristics under the current ship operating condition are obtained by feature extraction based on multi-source heterogeneous datasets; the power grid load is analyzed based on the load spectrum characteristics using a multi-objective optimization prediction model to obtain the peak load prediction results; based on the peak load prediction results and control logic under the current ship operating condition, a scheduling decision is generated; and a corresponding scheduling instruction is generated based on the scheduling decision; wherein, the scheduling instruction includes load regulation instruction and charging / discharging control instruction; the load spectrum characteristics include the load size distribution characteristics, load fluctuation pattern characteristics, and load change trend characteristics under the current ship operating condition.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the ship integrated energy storage control method of claim 6.

8. A computer program product, characterized in that, The computer program product includes computer program code, which, when run on a computer, enables the computer to implement the ship integrated energy storage control method as described in claim 6.

9. An electronic terminal, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the ship integrated energy storage control method of claim 6.

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