Ship hybrid power energy management method and device, ship equipment and medium

Abstract

The invention relates to a ship hybrid power energy management method and device, ship equipment and a medium, and belongs to the technical field of energy management.The ship hybrid power energy management method comprises the steps that operation data of a hybrid power ship are obtained, and a hybrid power ship model is constructed based on the operation data of the hybrid power ship; the operation cost and the pollutant discharge cost of the hybrid power ship are calculated based on the hybrid power ship model, and the comprehensive cost is determined based on the operation cost and the pollutant discharge cost; according to the method, the minimum comprehensive cost is taken as an objective function, constraint conditions are set, and parameters of the hybrid power ship model are optimized by adopting a particle swarm optimization algorithm, so that energy management of the hybrid power ship is realized, and optimal energy utilization is realized.

Description

Technical Field

[0001] The present invention relates to the field of energy management technology, and in particular to a ship hybrid power energy management method, device, ship equipment and medium. Background Art

[0002] Ships are an important medium for promoting economic globalization. Ships with diesel engines as their main power source have a large amount of exhaust pollutants emitted and a large amount of fossil energy consumed, which seriously affects the sustainable development of the natural environment. Therefore, in order to achieve the sustainable development goals of high output, low energy consumption and zero pollution, hybrid energy systems that introduce clean energy into conventional energy systems are widely used.

[0003] In a hybrid energy system, reasonable and effective energy scheduling is crucial for the comprehensive utilization of multiple energy sources. Since the ship's hybrid energy system operates in an island mode, the hybrid energy system must not only meet the load demand but also ensure the safe and reliable operation of the energy system.

[0004] In the optimization and scheduling process of existing hybrid energy systems, the energy management strategy is optimized too slowly, and real-time optimization of energy management cannot be achieved. It cannot consider multiple goals at the same time, such as reducing fuel consumption, reducing pollutant emissions, and improving navigation stability. It is difficult to balance the contradictions between different goals and cannot achieve optimal energy utilization. Summary of the Invention

[0005] In view of this, it is necessary to provide a ship hybrid energy management method, device, ship equipment and medium to solve the technical problem that the ship energy system cannot achieve optimal energy utilization during the optimization scheduling process.

[0006] In order to solve the above problems, in a first aspect, the present invention provides a method for managing hybrid power energy of a ship, comprising: Acquiring operating data of a hybrid power ship, and constructing a hybrid power ship model based on the operating data of the hybrid power ship; Calculating the operating cost and pollutant emission cost of the hybrid ship based on the hybrid ship model, and determining the comprehensive cost based on the operating cost and pollutant emission cost; Taking the minimum comprehensive cost as the objective function and setting constraints, a particle swarm optimization algorithm is used to optimize the parameters of the hybrid ship model to achieve energy management of the hybrid ship.

[0007] In a possible implementation, the operating data includes load power, clean energy output power, diesel engine output power and power battery charge state, and the clean energy includes photovoltaic power generation and wind power generation.

[0008] In a possible implementation, the hybrid ship model includes a clean energy power generation model, an energy storage model, and a diesel engine model. The clean energy power generation model includes a photovoltaic power generation model and a wind power generation model. The photovoltaic power generation model is: , , in, for The output power of the photovoltaic module at the moment, for The intensity of solar radiation at any moment, is the area of the photovoltaic panel, is the electricity conversion rate of the photovoltaic module, is the number of photovoltaic modules, for Total output power of photovoltaic power generation at all times; The wind power generation model is: , , in, is the total number of fans, for The wind speed at the moment, is the starting wind speed of the fan, Provide early warning wind speed for wind turbines, is the rated wind speed of the fan, is the rated output power of the wind turbine, for The output power of wind power generation at any moment, for Total output power of wind power generation at any moment; The clean energy power generation model is: , in, for Clean energy output at all times; The energy storage model is: , , in, for The state of charge of the power battery at all times, for The discharge power of the power battery at any time, for The electrical energy stored in the power battery at all times, is the maximum energy capacity of the power battery, is the minimum energy capacity of the power battery, is the time step; The diesel engine model is: , , , in, for The output power of the diesel engine at that moment, is the power demand of the load at time t, is the rated output power of the diesel engine, is the intercept coefficient of the fuel curve, is the slope of the fuel curve, for Fuel consumption at each moment, for time emissions, for time emissions, for time emissions, 、 、 They are 、 、 emission factors.

[0009] In a possible implementation, the operating cost of the hybrid ship includes the operating cost of the diesel engine and the operating cost of clean energy power generation, and the operating cost of the diesel engine is: , , , in, for The operating cost of diesel engines at all times, for The fuel cost of diesel engine at this moment, for The operation and maintenance cost of diesel engines at all times, is the fuel cost coefficient of diesel engine, is the proportionality constant; The operating cost of clean energy power generation is: , in, for Clean energy power generation operating costs at all times, Cost factors for clean energy generation; The pollutant emission cost of the hybrid ship is: , , in, is the pollutant emission cost of hybrid ships, For emissions governance costs, For emissions governance costs, For emissions governance costs, 、 、 They are 、 、 governance costs.

[0010] In a possible implementation, the objective function is: , , , in, is the objective function.

[0011] In a possible implementation, setting the constraint condition includes: The constraint condition is that the output power of clean energy power generation, energy storage power supply and diesel engine power generation must be balanced with the load power.

[0012] In a possible implementation, the optimizing the parameters of the hybrid ship model by using a particle swarm optimization algorithm includes: Taking the clean energy output power as the decision variable, the particle swarm of the particle swarm optimization algorithm is initialized to obtain the particle velocity and particle position; Determine the fitness value of the particle swarm based on the objective function; The particle position and particle velocity are updated based on the fitness value to obtain an individual optimal solution for the particle and a global optimal solution for the population of particles; The optimal output power of clean energy generation and diesel engine generation is determined based on the individual optimal solution and the global optimal solution.

[0013] In a second aspect, the present invention further provides a hybrid power energy management device for a ship, comprising: A ship model building module, configured to obtain operating data of a hybrid ship and build a hybrid ship model based on the operating data of the hybrid ship; a comprehensive cost determination module, configured to calculate the operating cost and pollutant emission cost of the hybrid ship based on the hybrid ship model, and determine the comprehensive cost based on the operating cost and pollutant emission cost; The optimization module is used to optimize the parameters of the hybrid ship model using a particle swarm optimization algorithm with the minimum comprehensive cost as the objective function and setting constraints to achieve energy management of the hybrid ship.

[0014] In a third aspect, the present invention further provides a ship device, comprising: a processor and a memory; The memory stores a computer-readable program executable by the processor; When the processor executes the computer-readable program, the steps in the ship hybrid energy management method described above are implemented.

[0015] In a fourth aspect, the present invention also provides a computer-readable storage medium for storing computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the ship hybrid energy management method described in any one of the above-mentioned method items.

[0016] The beneficial effects of the present invention are as follows: the operating cost and pollutant emission cost of the hybrid ship are calculated based on the hybrid ship model, the comprehensive cost is determined based on the operating cost and the pollutant emission cost, multiple targets of pollutant emission, fuel consumption and power battery are taken into consideration, the minimum comprehensive cost is used as the objective function, and constraints are set, and the parameters of the hybrid ship model are optimized by the particle swarm optimization algorithm to realize the energy management of the hybrid ship. The parameters of the hybrid ship model are optimized by the particle swarm optimization algorithm to find the global optimal solution, so that energy can be reasonably distributed, the optimal power output scheme is determined, the fuel economy is improved, the stability of the power battery SOC is maintained, the contradictions between different targets are effectively balanced, and the optimal energy utilization is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For the technical personnel of the present invention, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 A flow chart of an embodiment of the ship hybrid power energy management method provided by the present invention; Figure 2 A schematic diagram of the basic architecture of a ship hybrid power system according to the ship hybrid power energy management method provided by the present invention; Figure 3 A schematic structural diagram of an embodiment of a hybrid power energy management device for ships provided by the present invention; Figure 4 This is a structural schematic diagram of an embodiment of the ship equipment provided by the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, and are not used to limit the scope of the present invention.

[0020] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0021] Before presenting the embodiments, the following terms are explained.

[0022] Particle swarm optimization (PSO) is a process in which a group of randomly generated initial particles continuously search in the solution space following the optimal particle using a specific optimization strategy, and finally find the optimal value.

[0023] The present invention discloses a method, device, ship equipment, and medium for managing hybrid power energy for ships, which can be used in computers. The method, device, or computer-readable storage medium involved in the present invention can be integrated with the above-mentioned devices or can be relatively independent.

[0024] A specific embodiment of the present invention discloses a method for managing hybrid power energy of a ship, which can be executed by a computer, specifically by one or more processors of the computer. Figure 1 As shown, the ship hybrid energy management method includes: S101, obtaining operation data of a hybrid ship, and building a hybrid ship model based on the operation data of the hybrid ship; It should be noted that the operating data of hybrid ships includes load power, clean energy output power, diesel engine output power, and power battery state of charge. Clean energy includes photovoltaic power generation and wind power generation. Hybrid ships operate in island mode, with wind power generation and photovoltaic power generation as the main power supply units, and battery energy storage and diesel engines as auxiliary power supply units, complementing each other. When the output power of wind power generation and photovoltaic power generation exceeds the load power, the excess energy is stored in the battery energy storage for subsequent use. When the output power of wind power generation and photovoltaic power generation modules cannot meet the load demand, battery energy storage will compensate for the power shortage, effectively overcoming the sudden change of wind power generation and photovoltaic power generation, and improving reliability and energy sustainability. If the battery is fully charged, the excess energy will be used for backup load, improving energy utilization. The battery charge and discharge are controlled by real-time monitoring of the battery state of charge (SOC), maximizing the battery life and storage capacity. The ship's output power is optimized through load tracking control, and the output power of each distributed generation module is adjusted to meet the ship's load demand. For a schematic diagram of the basic architecture of the ship hybrid system, please refer to Figure 2 . ‌

[0025] S102. Calculating the operating cost and pollutant emission cost of the hybrid ship based on the hybrid ship model, and determining the comprehensive cost based on the operating cost and pollutant emission cost; It should be noted that energy management of hybrid energy of ships is carried out by reducing the operating costs and pollutant emission costs of hybrid ships.

[0026] S103, taking the minimum comprehensive cost as the objective function and setting constraints, and using a particle swarm optimization algorithm to optimize the parameters of the hybrid ship model to achieve energy management of the hybrid ship; It should be noted that the objective function includes the diesel engine operating cost, the clean energy power generation operating cost, and the emission pollutant treatment cost. The optimal weight coefficient is determined by the particle swarm optimization algorithm. That is, a single objective is set as the objective function, and the optimal torque distribution result and the corresponding first target value under the current objective function are calculated. A new evaluation function is then constructed based on the optimal target value solved for the single objective, and the optimal torque distribution result and the corresponding second target value under the constructed new evaluation function are solved. The weight coefficient value corresponding to the objective function is calculated based on the weight coefficient. The reward function is determined based on the objective function. By setting the reward function, the reward value corresponding to each action value is calculated. According to the principle of finding actions with increasingly large reward values and parameter updates, the parameters are continuously updated until the output reward value converges to the maximum action value, that is, the result that satisfies the optimal objective function. By solving the weight coefficients between multiple objectives, fuel economy is improved, the stability of the power battery SOC is maintained, fuel consumption is reduced, pollutant emissions are reduced, and navigation stability is improved, thereby achieving optimal energy utilization, effectively balancing the contradictions between different objectives, ensuring reasonable energy distribution, and obtaining the optimal power output solution.

[0027] In some embodiments, in step S101, operating data of a hybrid ship is obtained, the operating data of the hybrid ship including load power, clean energy output power, diesel engine output power, and power battery charge state, the clean energy includes photovoltaic power generation and wind power generation, the operating mode of the hybrid ship includes solar energy and wind energy as a first load power supply mode, wind energy, solar energy, and a diesel engine as a second load power supply mode, and wind energy, solar energy, and energy storage as a third load power supply mode; a hybrid ship model is constructed based on the operating data of the hybrid ship, the hybrid ship model including a clean energy power generation model, an energy storage model, and a diesel engine model, the clean energy power generation model including a photovoltaic power generation model and a wind power generation model, and the photovoltaic power generation model is: , , in, for The output power of the photovoltaic module at this moment, for The intensity of solar radiation at any moment, is the area of the photovoltaic panel, is the electricity conversion rate of the photovoltaic module, is the number of photovoltaic modules, for Total output power of photovoltaic power generation at all times; The output power of wind power generation mainly depends on the wind speed at the height of the wind turbine hub. After the wind energy passes through the wind turbine generator set, part of the mechanical energy will be converted into electrical energy. The wind power generation model is: , , in, is the total number of fans, for The wind speed at the moment, is the starting wind speed of the fan, Provide early warning wind speed for wind turbines, is the rated wind speed of the fan, is the rated output power of the wind turbine, for The output power of wind power generation at any moment, for Total output power of wind power generation at any moment; The clean energy power generation model is: , in, for Clean energy output at all times; The output of clean energy power generation varies with changes in environmental conditions such as light and wind speed, and the power load is sudden. Therefore, in order to improve the reliability of ship energy, battery energy storage is equipped in the ship energy. The maximum storage capacity of the battery is and minimum storage , the relationship between the maximum storage capacity and the minimum storage capacity of the battery is: , in, is the maximum discharge depth of the battery, and the number of batteries equipped in the ship is , then the maximum battery capacity of battery energy storage is: , Minimum battery capacity: , Battery energy storage is used as an auxiliary power supply unit. When the power generated by clean energy generation is greater than the load demand, the battery is charged. At this time, the battery power changes as follows: , When the electricity generated by clean energy cannot meet the load demand, the battery will discharge. At this time, the battery's electricity changes as follows: , in, Storing energy in batteries The electrical energy stored at all times, for The power demand of the load at any moment, is the inverter conversion rate, is the battery pack discharge efficiency, For battery pack charging efficiency, To generate clean energy output power, the maximum charge and discharge energy of the battery at any time is: and ; The energy storage model is: , , in, for The state of charge of the power battery at all times, for The discharge power of the power battery at any time, for The electrical energy stored in the power battery at all times, is the maximum energy capacity of the power battery, is the minimum energy capacity of the power battery, is the time step; When the sum of the clean energy generation and battery energy storage cannot meet the load demand, the diesel engine is started. The diesel engine model is: , in, for The output power of the diesel engine at that moment, is the power demand of the load at time t, is the time step; The output power of a diesel engine is determined by fuel consumption, so the relationship between the output power of a diesel engine and fuel consumption is: , in, for Fuel consumption at each moment, is the rated output power of the diesel engine, is the intercept coefficient of the fuel curve, is the slope of the fuel curve; The pollutants generated during the operation of a diesel engine mainly include SO2, NO2 and CO2. The relationship between the emission of pollutants and the output power during the operation of a diesel engine is: , in, for time emissions, for time emissions, for time emissions, 、 、 They are 、 、 emission factors.

[0028] In some embodiments, in step S102, the operating cost and pollutant emission cost of the hybrid ship are calculated based on the hybrid ship model. The operating cost of the hybrid ship includes the operating cost of the diesel engine and the operating cost of clean energy power generation. The operating cost of the diesel engine includes the fuel cost of the diesel engine and the operating and maintenance cost of the diesel engine. The operating cost of the diesel engine is: , , , in, for The operating cost of diesel engines at all times, for The fuel cost of diesel engine at this moment, for The operation and maintenance cost of diesel engines at all times, is the fuel cost coefficient of diesel engine, is the proportionality constant; The operating cost of clean energy power generation is: , in, for Clean energy power generation operating costs at all times, is the cost coefficient of clean energy power generation. The cost coefficient depends on the actual cost of clean energy power generation. The actual cost of clean energy power generation is 0.1 USD / kWh. , so the cost coefficient does not affect the results; The operating costs of its hybrid ship are: , in, for The operating costs of hybrid ships at all times; The pollutant emission cost of hybrid ships is: , , in, is the pollutant emission cost of hybrid ships, For emissions governance costs, For emissions governance costs, For emissions governance costs, 、 、 They are 、 、 The cost of treatment; to manage the energy of ship hybrid energy with the goal of reducing pollutant emissions, and to convert the goal into minimizing treatment costs through the relationship between pollutant emissions and treatment costs; The comprehensive cost is determined based on the operating cost and pollutant emission cost, and the comprehensive cost is: , in, for Comprehensive cost at all times.

[0029] In some embodiments, in step S103, the parameters of the hybrid ship model are optimized using a particle swarm optimization algorithm with the minimum comprehensive cost as the objective function and constraints set to achieve energy management of the hybrid ship. With the goal of reducing the ship operating cost, the ship's hybrid energy is managed in real time. With the goal of reducing pollutant emissions, the ship's hybrid energy is managed. The goal is converted into minimizing the treatment cost through the relationship between pollutant emissions and treatment costs, that is, with the minimum comprehensive cost as the objective function, the objective function is: , in, is the objective function; Set constraints, with the output power of clean energy generation, energy storage power supply, and diesel engine power generation balanced with the load power as the constraint condition. That is, use the instantaneous wind speed and solar radiation to calculate the output power of solar panels and wind turbines per unit time to meet the relevant constraints of clean energy generation, energy storage power supply, and diesel engine power generation and load power balance. The constraints are: , The process of optimizing the parameters of the hybrid ship model using the particle swarm optimization algorithm is as follows: based on the obtained diesel engine output power, the acceleration and required torque of the ship are obtained. The ship speed, acceleration, and power battery state of charge are used as inputs to the particle swarm optimization algorithm. The ship hybrid energy uses clean energy generation as the main power supply unit. Therefore, the output power of the clean energy module is used as the decision variable to initialize the particle swarm of the particle swarm optimization algorithm. The initialized particle swarm is: , , in, for Clean energy generation at maximum available power at all times, The maximum available power of the diesel generator. for uniform distribution; After initialization, the particle velocity and particle position are obtained, and the fitness value of the particle swarm is determined according to the objective function; based on the fitness value, the particle position and particle velocity are updated to obtain the individual optimal solution of the particle and the global optimal solution of the swarm particles, and the optimal output power of clean energy power generation and diesel engine power generation is determined based on the individual optimal solution and the global optimal solution, that is, the combination scheme of clean energy power generation and diesel engine power generation with the minimum comprehensive cost is obtained; if a group of particle swarms contains N particles, the particle position of the swarm in the D-dimensional space is and particle speed for: , The position and velocity of each particle are updated towards the global optimal solution: , in, 、 is the learning factor (value is 1.5), and are mutually independent pseudo-random numbers (in uniform distribution), is the speed of the particle, in order to prevent the particle from leaving the search space during the evolution process, Usually limited to a certain range, that is, ; Introducing the inertia weight value further improves the performance of the particle swarm optimization algorithm. After introducing the inertia weight value, the speed is updated as follows: , in, is the inertia weight value, is the dynamic constant, which controls the influence of the particle's previous moment speed on the current moment speed, The larger it is, the greater the impact of the speed at the previous moment, which improves the global search capability. The smaller the value, the smaller the influence of the speed at the previous moment, which improves the local search ability. Therefore, in order to expand the search range in the early stage of the optimization process and strengthen the local convergence ability of the algorithm in the later stage, the inertia weight value is adjusted. Continuously update, the update formula is: , in, 、 are the maximum and minimum values of the inertia weight in the iteration, and are the inertia weight values at the beginning and end of the optimization process. is 1.2, is 0.6, is the number of iterations, is the maximum number of iterations.

[0030] The particle swarm optimization algorithm is used to obtain the current engine torque, and then the current motor torque is obtained. According to the hybrid ship model, the power battery state of charge at the next moment corresponding to the current motor torque is calculated. According to the fuel consumption of the diesel engine and the power battery state of charge at the next moment, the reward value corresponding to the current engine torque is calculated. According to the principle of the greater the reward, the better, the optimal result is output to achieve energy management.

[0031] Please refer to Table 1 for the fuel cost and operating cost of different energy management methods. Table 1

[0032] Please refer to Table 2 for the pollutant emissions and treatment fees of different energy management methods. Table 2

[0033] It can be seen from Table 1 that after the optimization of the ship hybrid energy management strategy, both fuel costs and total operating costs have been significantly reduced, improving the economy of ship operation; it can be seen from Table 2 that after optimization, the pollutant emissions are reduced by 3.17% compared with those without optimization, and are reduced by about 43.26% compared with the pollutant emissions of the diesel engine working alone, meeting the environmental protection requirements of the ship energy efficiency operation index, effectively reducing the impact on the environment, and complying with the requirements of green and sustainable development.

[0034] In summary, the ship hybrid energy management method provided by the present invention obtains the operating data of the hybrid ship, and constructs a hybrid ship model based on the operating data of the hybrid ship; calculates the operating cost and pollutant emission cost of the hybrid ship based on the hybrid ship model, and determines the comprehensive cost based on the operating cost and pollutant emission cost; takes the minimum comprehensive cost as the objective function, sets constraints, and uses the particle swarm optimization algorithm to optimize the parameters of the hybrid ship model to realize the energy management of the hybrid ship and achieve optimal energy utilization.

[0035] In order to better implement the ship hybrid power energy management method in the embodiment of the present invention, based on the ship hybrid power energy management method, correspondingly, Figure 3 As shown, an embodiment of the present invention further provides a ship hybrid power energy management device, and the ship hybrid power energy management device 300 includes: The ship model building module 301 is used to obtain the operation data of the hybrid ship and build a hybrid ship model based on the operation data of the hybrid ship; A comprehensive cost determination module 302 is configured to calculate the operating cost and pollutant emission cost of the hybrid ship based on the hybrid ship model, and determine the comprehensive cost based on the operating cost and pollutant emission cost; The optimization module 303 is used to optimize the parameters of the hybrid ship model using the particle swarm optimization algorithm with the minimum comprehensive cost as the objective function and setting constraints to achieve energy management of the hybrid ship.

[0036] like Figure 4 As shown, the present invention also provides a corresponding ship device 400, which can be a computing device such as a mobile terminal, a desktop computer, a notebook, a palmtop computer, a server, etc. The ship device 400 includes a processor 401, a memory 402 and a display 403. Figure 4 Only some of the components of the marine equipment 400 are shown, but it should be understood that implementation of all of the shown components is not required, and more or fewer components may be implemented instead.

[0037] In some embodiments, the memory 402 may be an internal storage unit of the marine equipment 400, such as a hard drive or memory of the marine equipment 400. In other embodiments, the memory 402 may also be an external storage device of the marine equipment 400, such as a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, the memory 402 may include both an internal storage unit of the marine equipment 400 and an external storage device. The memory 402 is used to store application software installed in the marine equipment 400 and various data, such as program code for installing the marine equipment 400. The memory 402 may also be used to temporarily store data that has been output or is about to be output. In one embodiment, the memory 402 stores a marine hybrid power energy management program, which can be executed by the processor 401 to implement the marine hybrid power energy management method according to various embodiments of the present invention.

[0038] In some embodiments, the processor 401 may be a central processing unit (CPU), a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 402 , such as a ship hybrid energy management method.

[0039] In some embodiments, display 403 can be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 403 is used to display identification information for the ship's hybrid energy management program and to display a visual user interface. Components 401-403 of ship equipment 400 communicate with each other via a system bus.

[0040] In some embodiments, when the processor 401 executes the ship hybrid energy management program in the memory 402, the various steps of the ship hybrid energy management method described in the above embodiments are implemented. Since the ship hybrid energy management method has been described in detail above, it will not be repeated here.

[0041] Accordingly, the present invention also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, the steps or functions of the ship hybrid energy management method provided by the above-mentioned method embodiments can be implemented.

[0042] Those skilled in the art will appreciate that all or part of the process steps of the above-described embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, such as a magnetic disk, an optical disk, a read-only memory, or a random access memory.

[0043] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or replacements that can be easily conceived by any technician familiar with the technical neighbors within the technical scope disclosed by the present invention should be covered by the scope of protection of the present invention.

Claims

1. A method for managing hybrid power energy of a ship, characterized in that: include: Acquiring operating data of a hybrid power ship, and constructing a hybrid power ship model based on the operating data of the hybrid power ship; Calculating the operating cost and pollutant emission cost of the hybrid ship based on the hybrid ship model, and determining the comprehensive cost based on the operating cost and pollutant emission cost; Taking the minimum comprehensive cost as the objective function and setting constraints, a particle swarm optimization algorithm is used to optimize the parameters of the hybrid ship model to achieve energy management of the hybrid ship.

2. The ship hybrid power energy management method according to claim 1, characterized in that: The operating data includes load power, clean energy output power, diesel engine output power and power battery charge state, and the clean energy includes photovoltaic power generation and wind power generation.

3. The ship hybrid power energy management method according to claim 2, characterized in that: The hybrid ship model includes a clean energy power generation model, an energy storage model and a diesel engine model. The clean energy power generation model includes a photovoltaic power generation model and a wind power generation model. The photovoltaic power generation model is: ， ， in, for The output power of the photovoltaic module at this moment, for The intensity of solar radiation at any moment, is the area of the photovoltaic panel, is the electricity conversion rate of the photovoltaic module, is the number of photovoltaic modules, for Total output power of photovoltaic power generation at all times; The wind power generation model is: ， ， in, is the total number of fans, for The wind speed at the moment, is the starting wind speed of the fan, Provide early warning wind speed for wind turbines, is the rated wind speed of the fan, is the rated output power of the wind turbine, for The output power of wind power generation at any moment, for Total output power of wind power generation at any moment; The clean energy power generation model is: ， in, for Clean energy output at all times; The energy storage model is: ， ， in, for The state of charge of the power battery at all times, for The discharge power of the power battery at any time, for The electrical energy stored in the power battery at all times, is the maximum energy capacity of the power battery, is the minimum energy capacity of the power battery, is the time step; The diesel engine model is: ， ， ， in, for The output power of the diesel engine at that moment, is the power demand of the load at time t, is the rated output power of the diesel engine, is the intercept coefficient of the fuel curve, is the slope of the fuel curve, for Fuel consumption at each moment, for time emissions, for time emissions, for time emissions, 、 、 They are 、 、 emission factors.

4. The ship hybrid power energy management method according to claim 3, characterized in that: The operating cost of the hybrid ship includes the operating cost of the diesel engine and the operating cost of clean energy power generation. The operating cost of the diesel engine is: ， ， ， in, for The operating cost of diesel engines at all times, for The fuel cost of diesel engine at this moment, for The operation and maintenance cost of diesel engines at all times, is the fuel cost coefficient of diesel engine, is the proportionality constant; The operating cost of clean energy power generation is: ， in, for Clean energy power generation operating costs at all times, Cost factors for clean energy generation; The pollutant emission cost of the hybrid ship is: ， ， in, is the pollutant emission cost of hybrid ships, For emissions governance costs, For emissions governance costs, For emissions governance costs, 、 、 They are 、 、 governance costs.

5. The ship hybrid power energy management method according to claim 4, characterized in that: The objective function is: ， ， ， in, is the objective function.

6. The ship hybrid power energy management method according to claim 1, characterized in that: The setting constraint conditions include: The constraint condition is that the output power of clean energy power generation, energy storage power supply and diesel engine power generation must be balanced with the load power.

7. The ship hybrid power energy management method according to claim 6, characterized in that: The method of optimizing the parameters of the hybrid ship model using a particle swarm optimization algorithm includes: Taking the clean energy output power as the decision variable, the particle swarm of the particle swarm optimization algorithm is initialized to obtain the particle velocity and particle position; Determine the fitness value of the particle swarm based on the objective function; The particle position and particle velocity are updated based on the fitness value to obtain an individual optimal solution for the particle and a global optimal solution for the population of particles; The optimal output power of clean energy generation and diesel engine generation is determined based on the individual optimal solution and the global optimal solution.

8. A hybrid power energy management device for ships, characterized in that: include: A ship model building module, configured to obtain operating data of a hybrid ship and build a hybrid ship model based on the operating data of the hybrid ship; a comprehensive cost determination module, configured to calculate the operating cost and pollutant emission cost of the hybrid ship based on the hybrid ship model, and determine the comprehensive cost based on the operating cost and pollutant emission cost; The optimization module is used to optimize the parameters of the hybrid ship model using a particle swarm optimization algorithm with the minimum comprehensive cost as the objective function and setting constraints to achieve energy management of the hybrid ship.

9. A ship equipment, characterized in that: including memory and processor; The memory stores a computer-readable program executable by the processor; When the processor executes the computer-readable program, the steps of the ship hybrid energy management method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the ship hybrid energy management method according to any one of claims 1 to 7.

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