KEYWORDS: Oceanography, Mathematical modeling, Matrices, Detection and tracking algorithms, Power consumption, Mathematical optimization, Kinematics, Genetic algorithms, Control systems
In order to adapt to marine operations and improve the positioning accuracy of ships, this paper proposes an improved marine predator's algorithm for ship power system thrust distribution. An objective function for minimizing the power loss of the propulsion system is established. The function is constrained by the angle, magnitude and rate of change of the thrust direction. To solve the problem that the conventional Marine Predator's Algorithm (MPA) easily falls into local optimum, an adaptive t-distribution change operator is introduced to update the population to avoid falling into local optimum. The updated populations are grouped and learned according to the fitness to further improve the population quality and search accuracy. The traditional marine predator's algorithm is also compared with the improved simulation results, and it is concluded that the improved algorithm can deliver the commands of the power positioning system controller more accurately under the environmental disturbance and effectively reduce the power loss when the ship is sailing.
KEYWORDS: Power grids, Computer simulations, Control systems, Mathematical optimization, Particle swarm optimization, Design and modelling, Power supplies, Mathematical modeling, Inductance
With the continuous development of distributed power supply, its use in the power system is more and more, which makes the power system more and more vulnerable to power fluctuations and system failures, resulting in the stability of the system decline. Therefore, how to improve the stability of grid connection becomes a research hotspot. Virtual synchronous generator can simulate the moment of inertia and damping characteristics of synchronous generator, but its parameter design is complicated. To solve this problem, the mathematical model of virtual synchronous generator is established in this paper, and the parameters are optimized by using the improved hybrid leapfrog algorithm. By comparing the simulation results of grid voltage and frequency, it is proved that the improved hybrid leapfrog algorithm is more suitable for the grid stability of virtual synchronous generator.
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