计算机与数字工程2024，Vol.52Issue(2)：626-629,640,5.DOI:10.3969/j.issn.1672-9722.2024.02.058
基于遗传优化粒子的船舶电网容量优化配置
Optimal Capacity Allocation of Marine Microgrid Based on Particle Swarm Optimization Algorithm
蒋正宇 1戴晓强1
作者信息
- 1. 江苏科技大学电子信息学院 镇江 212000
- 折叠
摘要
Abstract
At present,due to the increasing price of traditional energy under the influence of energy crisis,it is difficult for the traditional ship power mode to meet the new emission standards,forcing the ship power system to carry out energy transforma-tion.Therefore,this paper establishes an independent ship power grid system composed of battery,super capacitor,photovoltaic and diesel generator,and establishes the objective function and constraints.The economy,reliability and environmental protection are considered in order to allocate the capacity of ship power grid reasonably.In this paper,the concept of genetic algorithm is used to introduce the crossover process of genetic algorithm before particle swarm optimization updates particles,so as to produce better quality offspring individuals.Then this algorithm is applied to the capacity optimization of the target ship in different working condi-tions.Compared with particle swarm optimization algorithm and genetic optimization algorithm,the optimal capacity allocation scheme is obtained.关键词
遗传算法交叉/船舶电网系统/容量优化/储能装置Key words
particle swarm optimization algorithm/marine microgrid system/capacity optimization/energy storage device分类
信息技术与安全科学引用本文复制引用
蒋正宇,戴晓强..基于遗传优化粒子的船舶电网容量优化配置[J].计算机与数字工程,2024,52(2):626-629,640,5.
