CN-122026474-A - Photovoltaic and energy storage hybrid power system for cruise ship and energy management method thereof

CN122026474ACN 122026474 ACN122026474 ACN 122026474ACN-122026474-A

Abstract

The invention relates to the technical field of ship power systems, and particularly discloses a photovoltaic and energy storage hybrid power system for a cruise ship and an energy management method thereof. The system comprises a physical energy layer, a sensing and control layer and an intelligent decision layer. The intelligent decision-making layer realizes real-time calculation and performance prediction of the internal state of the equipment through the equipment digital twin body cluster, and the real-time energy scheduling strategy is adjusted in advance by the prospective energy management decision-making module according to the health risk list after the fusion evaluation of the system-level health situation evaluation module. The method can realize active risk avoidance based on equipment health prediction, and improve the running toughness and power supply safety of the system in offshore or river environments.

Inventors

MA SHENGKE
CHEN SHOUHENG
XIA WANXIA
PENG YALING
DENG QIAO

Assignees

重庆市同方科技发展有限公司

Dates

Publication Date: 20260512
Application Date: 20260108

Claims (10)

1. Photovoltaic, energy storage hybrid power system for loose pulley, its characterized in that includes: The physical energy layer comprises a photovoltaic power generation array, an energy storage battery pack, a diesel generating set, a direct current bus, an alternating current bus, a bidirectional converter, a photovoltaic inverter, a ship propulsion load and a daily load; the photovoltaic power generation array is connected to an alternating current bus through a photovoltaic inverter; The energy storage battery pack is respectively connected with a direct current bus and an alternating current bus through a bidirectional converter; the ship propulsion load and the daily load acquire electric energy from the alternating current bus; The sensing and control layer comprises a multi-dimensional sensor cluster, a data acquisition unit and an execution control unit which are deployed on each key device; The multi-dimensional sensor cluster is used for collecting the running state data of each key device in real time; the data acquisition unit is used for summarizing and preprocessing data acquired by the multi-dimensional sensor cluster; The execution control unit is used for receiving the control instruction and regulating and controlling each energy conversion device and each power generation device; the intelligent decision layer comprises a device digital twin body cluster, a system level health situation assessment module and a prospective energy management decision module.
2. The photovoltaic, energy storage hybrid system for cruise ships according to claim 1, wherein the digital twin cluster of devices is configured to construct and maintain a high-fidelity virtual mapping model for each key device in the physical energy layer, the virtual mapping model being established based on the physical characteristics, electrical parameters and historical operating data of the device, and continuously receiving real-time data streams from the sensing and control layer for synchronous updating; The system-level health situation assessment module is used for receiving real-time health indexes and performance prediction data of each device output by the digital twin body cluster of the device and internally arranging a multisource information fusion assessment algorithm; the multisource information fusion evaluation algorithm firstly defines a group of key health feature vectors for each equipment type, wherein the feature vectors are composed of core state parameters calculated by a digital twin body; further, the evaluation algorithm distributes dynamic weight to each feature vector, and the dynamic weight is dynamically adjusted according to the key degree of the equipment in the current system energy flow and the historical fault statistical data; The evaluation algorithm outputs a comprehensive health index of a system level and a detailed equipment level health risk list through weighted fusion calculation, and the risk list clearly identifies equipment in an early warning state or predicted to be subjected to performance degradation and the estimated residual reliable running time of the equipment; the look-ahead energy management decision module is used for running a double-layer optimization decision framework, and decision logic of the decision framework is deeply fused with the output of the system-level health situation assessment module; the double-layer optimization decision framework comprises a real-time optimization layer of a first layer and a look-ahead adjustment layer of a second layer; the real-time optimizing layer takes the optimal system operation economy as a primary target, and solves an optimal power distribution instruction according to the real-time load demand, the photovoltaic predicted power and the energy storage state on a second-minute time scale; The look-ahead adjustment layer operates on an hour-to-day time scale, and the core decision basis is a health risk list provided by a system-level health situation assessment module; The prospective adjustment layer continuously monitors the health risk list, and immediately triggers prospective scheduling policy reconstruction when any key device is identified to be predicted to have significant performance degradation or fault risk greater than a preset threshold value in a future specific time window; firstly, according to the type of the risk equipment and the predicted failure mode, calling a corresponding risk relief plan from a preset strategy library; The core principle of the risk mitigation plan is to actively reduce the dependence on the risk equipment or create a maintenance window for the risk equipment by adjusting the operation strategies of other healthy equipment before the occurrence of the fault.
3. The photovoltaic and energy storage hybrid power system for a cruise ship according to claim 2, wherein in the digital twin body cluster of the device, a digital twin body integrated electrochemical-thermal coupling model constructed for an energy storage battery pack is used for calculating internal states of the battery in real time, including a state of charge, a state of health and a power state; the digital twin integrated power generation power prediction model which is constructed for the photovoltaic array and takes irradiance, temperature, shielding and aging effects into consideration, and the digital twin integrated performance degradation prediction model which is constructed for the diesel generator set and is based on vibration, oil analysis and thermodynamic parameters.
4. The photovoltaic and energy storage hybrid power system for cruise ships according to claim 3, wherein the strategy reconstruction process triggered by the look-ahead adjustment layer specifically comprises converting a risk mitigation plan into an adjustment instruction for a real-time optimization layer objective function or constraint conditions, thereby intervening and reconstructing a subsequent real-time optimization decision process.
5. The photovoltaic, energy storage hybrid system for cruise ships according to claim 4, wherein when the risk device is an energy storage battery and predicts that its state of health will drop to an alert threshold within a certain time in the future, the invoked risk mitigation protocol comprises: the instruction real-time optimization layer gradually reduces the charge and discharge power requirements on the high-risk battery cluster in the subsequent power distribution, and transfers the power born by the high-risk battery cluster to other healthy battery clusters; meanwhile, the real-time optimizing layer is instructed to moderately improve the lower limit of the on-line running power of the diesel generator set, or the power output curve of the photovoltaic inverter is adjusted to partially compensate the adjusting capacity lost by limiting the power of the high-risk battery cluster.
6. The photovoltaic, energy storage hybrid system for cruise ships according to claim 5, wherein when the risk device is a diesel generator set and predicts that a particular component thereof will experience performance anomalies within a particular time in the future, the invoked risk mitigation protocol comprises: in an economic objective function of a real-time optimization layer, adding a virtual operation cost item positively related to a predicted risk level for the diesel generating set; meanwhile, the instruction system checks and ensures the availability of the standby generator set in advance, and adjusts the charge and discharge strategy of the energy storage battery pack to increase the reserve capacity of energy storage.
7. The cruise photovoltaic, energy storage hybrid system of claim 6, wherein the look-ahead energy management decision module further integrates a global reliability equalization algorithm; The global reliability balancing algorithm not only considers economy, but also takes a system-level health index and accumulated operation load of each device as constraint conditions when making a medium-long-term prescheduling plan, and aims to match load distribution of each key device in a planning period with the current health state of the key device.
8. The photovoltaic, energy storage hybrid system for a cruise ship of claim 7, wherein the multi-dimensional sensor cluster comprises irradiance sensors and temperature sensors deployed on a photovoltaic power generation array side, voltage sensors, current sensors and temperature sensors deployed on an energy storage battery side, and vibration sensors, oil analysis sensors and thermodynamic sensors deployed on a diesel generator side.
9. The photovoltaic and energy storage hybrid power system for cruise ship according to claim 8, wherein the execution control unit analyzes the coordination control command from the intelligent decision layer and converts the coordination control command into a bottom control signal which can be identified by each power electronic device and the generator set controller, and the bottom control signal comprises an active power command and a reactive power command issued to the bidirectional converter, a power limit command issued to the photovoltaic inverter, and a start-up command, a stop command and a power setting command issued to the diesel generator set.
10. An energy management method applied to the system of any one of claims 1 to 9, characterized by being executed by the intelligent decision layer, comprising the steps of: Continuously collecting real-time operation data of the photovoltaic array, the energy storage battery pack and the diesel generator set through the sensing and control layer; calculating real-time internal states and future short-term performance predictions of each key device in parallel based on the acquired data by using the device digital twin body clusters; The system-level health situation assessment module is used for fusing the output of the digital twin bodies of all the devices, calculating a system-level comprehensive health index and generating a device-level health risk list; Solving and issuing an optimal real-time power distribution instruction by using a real-time optimization layer of a prospective energy management decision module based on the current load, the photovoltaic real-time power and the energy storage real-time state and aiming at minimizing the operation cost at the current moment; Continuously monitoring a health risk list through a prospective adjustment layer of a prospective energy management decision module, and calling a corresponding risk relief plan according to the type of risk equipment when a preset risk triggering condition is detected; converting the risk mitigation plan into an adjustment instruction for a real-time optimization layer objective function or constraint conditions, thereby intervening and reconstructing a subsequent real-time optimization decision process; And the execution control unit receives and executes the coordination control instruction finally generated by the prospective energy management decision module to control the operation of each converter, each inverter and each generator set.

Description

Photovoltaic and energy storage hybrid power system for cruise ship and energy management method thereof Technical Field The invention belongs to the technical field of ship power systems, and particularly relates to a photovoltaic and energy storage hybrid power system for a cruise ship and an energy management method thereof. Background In the field of ship power and energy management, in order to meet the power requirements and environmental protection requirements of large-scale offshore or river platforms such as cruise ships, a hybrid power system is an important development direction because the hybrid power system can integrate various energy sources and improve energy efficiency and reliability. The hybrid power system combining photovoltaic power generation and energy storage batteries has great potential in cruise applications due to its clean, sustainable nature. The photovoltaic and energy storage hybrid power system for the cruise ship aims to provide stable, efficient and green power supply for the cruise ship through the cooperative work of a solar photovoltaic array, an energy storage battery pack and a traditional generator set (such as a diesel generator). The intelligent scheduling and management system has the core aim of intelligently scheduling and managing various energy sources according to navigation working conditions, illumination conditions and load demands so as to realize optimal utilization of the energy sources and economic operation of the system. In the prior art, most of energy management strategies of such hybrid power systems are based on preset rules or simple optimization algorithms, and the design of the energy management strategies is often focused on economy under steady-state working conditions, but the health states and potential faults of key equipment (such as energy storage batteries, photovoltaic inverters and generator sets) of the systems are lack of deep perception and prospective response. Because the offshore or river navigation environment is complex and changeable, and the maintenance and guarantee conditions are extremely limited, the traditional preventive maintenance mode based on a fixed period cannot accurately predict sudden faults or performance degradation of equipment. When the system faces the hidden faults of key equipment, the risk cannot be isolated or a standby scheme can be started through the self-adaptive adjustment of the energy management strategy, and once the sudden faults occur, the safety of power supply and sailing of the cruise ship are directly threatened, so that the sailing planning is interrupted and even safety accidents are caused. Therefore, how to construct an intelligent system capable of deeply fusing equipment health state prediction and realizing prospective energy management and fault risk avoidance according to the intelligent system becomes a technical problem to be solved in the field of photovoltaic and energy storage hybrid power systems for cruise ships. Disclosure of Invention The invention aims to provide a photovoltaic and energy storage hybrid power system for a cruise ship and an energy management method thereof, which are used for solving the technical contradiction that the system cannot be adaptively adjusted when the system faces sudden faults due to lack of deep perception and prospective treatment on the health state of key equipment in the prior art, so that the power supply and navigation safety of the cruise ship are threatened. The invention provides a photovoltaic and energy storage hybrid power system for a cruise ship, which comprises: The physical energy layer comprises a photovoltaic power generation array, an energy storage battery pack, a diesel generating set, a direct current bus, an alternating current bus, a bidirectional converter, a photovoltaic inverter, a ship propulsion load and a daily load; the photovoltaic power generation array is connected to an alternating current bus through a photovoltaic inverter; The energy storage battery pack is respectively connected with a direct current bus and an alternating current bus through a bidirectional converter; the ship propulsion load and the daily load acquire electric energy from the alternating current bus; The sensing and control layer comprises a multi-dimensional sensor cluster, a data acquisition unit and an execution control unit which are deployed on each key device; The multi-dimensional sensor cluster is used for collecting the running state data of each key device in real time; the data acquisition unit is used for summarizing and preprocessing data acquired by the multi-dimensional sensor cluster; The execution control unit is used for receiving the control instruction and regulating and controlling each energy conversion device and each power generation device; the intelligent decision layer comprises a device digital twin body cluster, a system level health situation assessment module and a prospective energy management