基于粒子群算法的船舶混合动力系统尺寸优化

Divyajot, R. Kumar, M. Fozdar
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引用次数: 11

摘要

传统上,船舶使用柴油发电机来满足从一般照明到为船上先进机械提供动力的各种电力负荷需求。然而,由于不断上涨的燃料价格,海洋工业被迫寻找替代能源来满足其不断增长的负载需求。仅仅依靠柴油发电机就意味着大大增加了船舶的二氧化碳排放量。因此,必须从传统能源转向可再生能源,以尽量减少燃料消耗,从而减少海洋工业的碳足迹。本文探讨了时变惯性权重粒子群算法(PSO)和三角形粒子群算法(三角形粒子群算法)对油轮上光伏、储能系统和柴油发电机输出最优尺寸的影响,从而在经济成本下最小化排放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal sizing of hybrid ship power system using variants of particle swarm optimization
Conventionally, ships have used diesel engine run generators to meet the electrical load demands varying from general lighting purposes to powering advanced machinery onboard. However, due to escalating fuel prices, the marine industry is compelled to search for alternate sources of energy to fulfill its increasing load demands. Simply relying on diesel generators for the same implies significantly increasing the ships' CO2 emissions. Therefore, it is imperative to shift from conventional to renewable sources of energy to minimize fuel consumption and thereby reduce the carbon footprint of the marine industry. This paper explores the impact of using Particle Swarm Optimization (PSO) with Time varying inertia weight (TVIW), and Triangular PSO on the optimal sizing of PV, Energy storage system and Diesel generator output, onboard an oil tanker so as to minimize emissions at an economical cost.
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