A self-adaptive coordinated control method for integrated test of a full-electric propulsion system of a ship
By using an adaptive coordinated control method, the power distribution between the diesel generator set and the battery pack is adjusted in real time, which solves the problem of unstable power supply in the ship's all-electric propulsion system under sudden operating conditions, and realizes the stable operation and performance optimization of the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA STATE SHIPBUILDING CORP LTD RESEARCH INSTITUTE 719
- Filing Date
- 2025-06-05
- Publication Date
- 2026-07-31
AI Technical Summary
During the testing phase, the ship's all-electric propulsion system cannot cope with sudden changes in operating conditions and unstable power supply quality, which affects the accuracy of the test and may damage the equipment.
An adaptive coordinated control method is adopted, which monitors and adjusts the power distribution of diesel generator sets, propulsion motor sets and battery packs in real time through the energy management center. Combined with mathematical models and formulas, the system can achieve stable operation under sudden load changes and power quality fluctuations.
The system achieved power balance, voltage stability, and frequency stability under different operating conditions, optimized system performance, and improved the accuracy of the test and the safety of the equipment.
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Figure CN120848170B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of ship power system management, and in particular to an adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system. Background Technology
[0002] With the adjustment of the global energy structure and the increasing environmental protection requirements, the shipbuilding industry is gradually moving towards all-electric propulsion. All-electric propulsion systems, with their advantages of high efficiency, flexibility, and environmental friendliness, have become an important direction in modern ship design. However, in practical applications, all-electric propulsion systems face many challenges, especially in the testing phase. The system needs to maintain stable operation under various operating conditions, while coping with issues such as sudden load changes and power supply quality fluctuations. These problems not only affect the accuracy of the tests but may also damage the equipment. Summary of the Invention
[0003] The purpose of this invention is to propose an adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system, thereby solving the technical problems of the ship's all-electric propulsion system being unable to cope with sudden changes in operating conditions and unstable power supply quality.
[0004] Specifically, this invention provides an adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system, comprising the following steps: S1. Construct a fully electric propulsion system for ships; S2. Collect electrical parameters of the ship's all-electric propulsion system; S3. Determine the system operating condition based on the electrical parameters of the ship's all-electric propulsion system; S4. Adjust the electrical parameters of each component of the ship's all-electric propulsion system using a dynamic optimization method based on the system operating conditions to achieve adaptive coordinated control.
[0005] A storage device that stores instructions and data for implementing an adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system.
[0006] An adaptive coordination control device for integrated testing of a ship's all-electric propulsion system includes: a processor and a storage device; the processor loads and executes instructions and data in the storage device to implement an adaptive coordination control method for integrated testing of a ship's all-electric propulsion system.
[0007] The beneficial effects provided by this invention are as follows: This invention proposes an adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system. Through intelligent regulation by the energy management center, stable operation of the system is achieved under conditions of sudden load increases and power quality fluctuations. This method adopts a case-by-case discussion approach, combining mathematical models and formulas to propose an innovative solution, ultimately optimizing and improving system performance. Experimental results show that this method performs excellently in terms of power balance, voltage stability, frequency stability, and overall optimization, demonstrating significant engineering application value. Attached Figure Description
[0008] Figure 1 This is a schematic diagram of the adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system according to the present invention; Figure 2 This is a schematic diagram of the hardware device used in this application. Detailed Implementation
[0009] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described below with reference to the accompanying drawings.
[0010] Before formally describing the present invention, a general description of the solution of the present invention will be given first to facilitate understanding.
[0011] Please refer to Figure 1 The present invention provides an adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system, comprising the following steps: S1. Construct a fully electric propulsion system for ships; The all-electric propulsion system for ships mentioned in step S1 includes: Diesel generator sets, propulsion motor sets, battery banks, and energy management centers; Diesel generator sets are used to provide DC power; propulsion motor sets are used to drive the ship forward; battery packs are used for system energy storage and emergency power supply; the energy management center adjusts the power distribution of diesel generator sets, propulsion motor sets, and battery packs according to system operating conditions; The diesel generator set, propulsion motor set, and battery pack are electrically connected to each other; The energy management center is electrically connected to the diesel generator set, propulsion motor set, and battery pack.
[0012] It should be noted that the ship's all-electric propulsion system also includes: The hydraulic dynamometer uses a high-precision hydraulic dynamometer to ensure accurate load simulation. The power distribution board is an intelligent power distribution board that supports real-time monitoring and control. Power conversion equipment (such as DC to AC converters) uses high-efficiency DC / DC and DC / AC power conversion equipment to ensure power quality; All of the above equipment can be existing equipment, and can be selected as they are not critical factors.
[0013] S2. Collect electrical parameters of the ship's all-electric propulsion system; It should be noted that the electrical parameters mentioned in step S2 include: load power, system voltage, and system frequency.
[0014] S3. Determine the system operating condition based on the electrical parameters of the ship's all-electric propulsion system; It should be noted that, based on the system's operating characteristics, this invention designs four different test conditions. These conditions cover typical operating states that the system may encounter during testing, including high load, low load, sudden load increase, and normal operation. Each condition has its specific operating parameters and numerical judgment criteria.
[0015] Specifically, when the load power P load The system voltage is greater than or equal to the first preset power. V The system frequency is greater than or equal to the first preset voltage. f When the frequency is greater than or equal to the first preset frequency, the system is in a high-load condition. When the load power P load Less than or equal to the second preset power, system voltage V The system frequency is greater than or equal to the second preset voltage. f When the frequency is greater than or equal to the second preset frequency, the system is in a low-load condition. When the change in load power Δ P load The system voltage is greater than or equal to the third preset power. V Less than or equal to the third preset voltage, system frequency f When the frequency is less than or equal to the third preset frequency, the system is in a sudden load increase condition; When the change in load power P load The system voltage is less than or equal to the first preset power and greater than or equal to the second preset power. V The system frequency is less than or equal to the fourth preset voltage and greater than or equal to the third preset voltage. f When the frequency is less than or equal to the second preset frequency and greater than or equal to the first preset frequency, the system is in normal operating condition.
[0016] For the above operating conditions, this invention selects two or three operating conditions and provides a detailed explanation using mathematical models and formulas.
[0017] 1. Propulsion motor under sudden increased load conditions Problem Analysis: When the propulsion motor experiences a sudden increase in load, the system may experience a voltage drop and frequency fluctuation, affecting power supply quality. In this situation, the energy management center needs to respond quickly, adjust the system's operating status, and ensure power supply stability.
[0018] Solution Rapid load distribution: The energy management center ensures rapid load distribution by adjusting the output power of the diesel generator sets.
[0019] Battery pack auxiliary power supply: The battery pack provides instantaneous power support during sudden load changes, mitigating voltage drops.
[0020] Mathematical model: Assume the output power of the diesel generator set is P diesel The output power of the battery pack is P battery The load power of the propulsion motor is P load The power balance equation of the system is: P diesel + P battery = P load + P loss in, P loss This represents the system's power loss. It is adjusted in real time. P diesel and P battery To ensure power balance.
[0021] Control strategy: When a sudden increase in load is detected, the energy management center quickly increases the output power of the diesel generator set and activates the auxiliary power supply function of the battery pack.
[0022] The output power of the diesel generator set and battery pack is adjusted in real time through the PID control algorithm to ensure system stability.
[0023] 2. System power supply quality fluctuation conditions Problem Analysis: During system operation, factors such as equipment start-up and shutdown, and load changes may cause fluctuations in power quality. These fluctuations can affect the normal operation of the equipment and even lead to test interruptions.
[0024] Solution: Voltage regulation: Maintain system voltage stability by adjusting the output voltage and frequency of the diesel generator set.
[0025] Dynamic power distribution: The power distribution between the diesel generator set and the battery pack is dynamically adjusted according to the real-time load demand of the system.
[0026] Mathematical model: Let the system voltage be V The frequency is f The output voltage of the diesel generator set is V diesel The output voltage of the battery pack is V battery The voltage balance equation of the system is: V =2 V diesel + V battery Through real-time adjustments V diesel and V battery This ensures stable system voltage.
[0027] Control strategy: When voltage fluctuations are detected, the energy management center quickly adjusts the output voltage of the diesel generator set and activates the battery pack's voltage regulation function.
[0028] The output voltage of the diesel generator set and battery pack is adjusted in real time through the optimal control algorithm to ensure system voltage stability.
[0029] 3. Comprehensive optimization control Problem Analysis In actual operation, the system may face the problems of sudden load increase and power quality fluctuation at the same time, and it is necessary to take into account a variety of factors to achieve overall system optimization.
[0030] Solution: Multi-objective optimization: By using a multi-objective optimization algorithm, factors such as power balance, voltage stability, and frequency stability are comprehensively considered to achieve overall system optimization.
[0031] Real-time monitoring and feedback: The energy management center monitors the system's operating status in real time and adjusts control strategies based on feedback information.
[0032] As one example, the specific details are as follows: Operating Condition 1: High Load Operation Definition: The system is running at or near full load.
[0033] Operating parameters: propulsion motor load power P load ≥80% P max , P max The state is the preset maximum power; system voltage V ≥580 V; System frequency f ≥49.5 Hz; Control objectives: Prioritize power balance and voltage stability to ensure stable system operation under high load.
[0034] Operating Condition 2: Low Load Operation Definition: The system is running under low load.
[0035] Operating parameters: propulsion motor load power P load ≤20% P max System voltage V ≥590 V; System frequency f ≥49.8 Hz; Control objectives: Prioritize voltage and frequency stability to reduce system resource waste; Operating Condition 3: Sudden Load Increase Definition: A sudden increase in system load within a short period of time, such as a rapid increase from low load to high load.
[0036] Operating parameters: Propulsion motor load power Δ P load ≥50% P max (Sudden increase in magnitude); System voltage V ≤585 V System frequency f ≤49.3 Hz; Control objectives: To respond quickly to load changes, prioritize power balance and voltage stability, and reduce system jitter.
[0037] Operating Condition 4: Normal Load Operation Definition: The system is running under normal load conditions.
[0038] Operating parameters: Drive motor load power 20% P max ≤ P load ≤80% P max ; System voltage 585 V ≤V ≤595 V ; The system frequency is 49.5 Hz ≤ f ≤ 49.8 Hz; Control objective: To comprehensively optimize power balance, voltage stability, and frequency stability to achieve efficient system operation; S4. Adjust the electrical parameters of each component of the ship's all-electric propulsion system using a dynamic optimization method based on the system operating conditions to achieve adaptive coordinated control.
[0039] It should be noted that, in order to achieve adaptive operation of the comprehensive optimization objective function, this invention introduces a dynamic weight adjustment mechanism. This mechanism dynamically adjusts the weights of power balance, voltage stability, and frequency stability in the optimization objective function based on the operating parameters of the current operating condition. The specific implementation is as follows: minf = w 1( P diesel + P battery - P load - P loss) 2 + w 2( V - V ref ) 2 + w 3( f - f ref ) 2 in, w 1 、w 2. w 3 is a dynamic weighting parameter that is automatically adjusted according to the current operating conditions.
[0040] As one embodiment, the weight adjustment rule of the present invention can be as follows: 1. High-load operating conditions: w 1 = 0.4 (power balance weight is relatively high); w 2 = 0.3 (voltage stability is the next most important factor); w 3 = 0.3 (frequency stability has the lowest weight); 2. Low-load operating conditions: w 1 = 0.3; w 2 = 0.4; w 3 = 0.3; 3. Operating conditions with sudden load increases: w 1 = 0.5; w 2 = 0.3; w 3 = 0.2; 4. Normal load operating conditions: w 1 = 0.3; w 2 = 0.3; w 3 = 0.4; To verify the effectiveness of the method described in this invention, we conducted experiments under four different operating conditions. The experimental results are as follows: Operating Condition 1: High Load Operation System power balance error: 0.8%; system voltage fluctuation: 1.2%; system frequency fluctuation: 0.3%; optimization objective function value: 0.95.
[0041] Operating Condition 2: Low Load Operation System power balance error: 1.2%; system voltage fluctuation: 0.8%; system frequency fluctuation: 0.5%; optimization objective function value: 0.92.
[0042] Operating Condition 3: Sudden Load Increase System power balance error: 1.5%; system voltage fluctuation: 2.0%; system frequency fluctuation: 0.8%; optimization objective function value: 0.98.
[0043] Operating Condition 4: Normal Load Operation System power balance error: 0.9%; system voltage fluctuation: 1.0%; system frequency fluctuation: 0.4%; optimization objective function value: 0.94.
[0044] Experimental results show that by introducing a comprehensive optimization objective function that adapts to different operating conditions, the system's operating status under different operating conditions has been significantly improved, and the optimization objective function values are all below 1.0, proving the effectiveness and superiority of the method of this invention.
[0045] Please see Figure 2 , Figure 2 This is a schematic diagram of the hardware device in operation according to an embodiment of the present invention. The hardware device specifically includes: an adaptive coordination control device 401 for integrated testing of a ship's all-electric propulsion system, a processor 402, and a storage device 403.
[0046] An adaptive coordination control device 401 for integrated testing of a ship's all-electric propulsion system: The adaptive coordination control device 401 for integrated testing of a ship's all-electric propulsion system implements the adaptive coordination control method for integrated testing of a ship's all-electric propulsion system.
[0047] Processor 402: The processor 402 loads and executes the instructions and data in the storage device 403 to implement the adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system.
[0048] Storage device 403: The storage device 403 stores instructions and data; the storage device 403 is used to implement the adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system.
[0049] In summary, the beneficial effects of this invention are as follows: This invention proposes a comprehensive optimization objective function based on adaptive operating conditions. By dynamically adjusting the weight parameters of the optimization objective function, it achieves automatic optimization operation of the system under different operating conditions. This method combines four typical experimental operating conditions and can automatically adjust the control strategy according to the characteristics of different operating conditions, thereby achieving efficient and stable operation of the system. Experimental results demonstrate the effectiveness and feasibility of this method, and it has significant engineering application value.
[0050] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. An adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system, characterized in that: The method includes the following steps: S1. Construct a fully electric propulsion system for ships; S2. Collect electrical parameters of the ship's all-electric propulsion system; S3. Determine the system operating condition based on the electrical parameters of the ship's all-electric propulsion system; S4. Adjust the electrical parameters of each component of the ship's all-electric propulsion system using a dynamic optimization method based on the system operating conditions to achieve adaptive coordinated control; The electrical parameters mentioned in step S2 include: load power, system voltage, and system frequency; In step S4, dynamic optimization specifically refers to using a multi-objective optimization function, which is as follows: minf = w 1( P diesel + P battery - P load - P loss ) 2 + w 2( V - V ref ) 2 + w 3( f - f ref ) 2 in, w 1 、w 2. w 3 represents a dynamic weighting parameter that is automatically adjusted based on the current operating conditions. P diesel This refers to the output power of the diesel generator set. P battery This refers to the output power of the battery pack. P loss This refers to the system's power loss. V ref The target system voltage; f ref The target system frequency.
2. The adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system as described in claim 1, characterized in that: The all-electric propulsion system for ships mentioned in step S1 includes: Diesel generator sets, propulsion motor sets, battery banks, and energy management centers; Diesel generator sets are used to provide DC power; propulsion motor sets are used to drive the ship forward; battery packs are used for system energy storage and emergency power supply; the energy management center adjusts the power distribution of diesel generator sets, propulsion motor sets, and battery packs according to system operating conditions; The diesel generator set, propulsion motor set, and battery pack are electrically connected to each other; The energy management center is electrically connected to the diesel generator set, propulsion motor set, and battery pack.
3. The adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system as described in claim 1, characterized in that: The system operating conditions described in step S3 include: high load, low load, sudden load increase, and normal operation.
4. The adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system as described in claim 1, characterized in that: Step S3 is as follows: When the load power P load The system voltage is greater than or equal to the first preset power. V The system frequency is greater than or equal to the first preset voltage. f When the frequency is greater than or equal to the first preset frequency, the system is in a high-load condition. When the load power P load Less than or equal to the second preset power, system voltage V The system frequency is greater than or equal to the second preset voltage. f When the frequency is greater than or equal to the second preset frequency, the system is in a low-load condition. When the change in load power Δ P load The system voltage is greater than or equal to the third preset power. V Less than or equal to the third preset voltage, system frequency f When the frequency is less than or equal to the third preset frequency, the system is in a sudden load increase condition; When the change in load power Δ P load The system voltage is less than or equal to the first preset power and greater than or equal to the second preset power. V The system frequency is less than or equal to the fourth preset voltage and greater than or equal to the third preset voltage. f When the frequency is less than or equal to the second preset frequency and greater than or equal to the first preset frequency, the system is in normal operating condition.
5. A storage device, characterized in that: The storage device stores instructions and data to implement the adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system as described in any one of claims 1 to 4.
6. An adaptive coordination control device for integrated testing of a ship's all-electric propulsion system, characterized in that: include: A processor and a storage device; the processor loads and executes instructions and data in the storage device to implement the adaptive coordinated control method for integrated testing of a ship's all-electric propulsion system as described in any one of claims 1 to 4.