A novel optimal dispatch strategy for hybrid energy ship power system based on the improved NSGA-II algorithm

电力系统 数学优化 能量(信号处理) 功率(物理) 计算机科学 能源系统 经济调度 算法 优化算法 工程类 控制理论(社会学) 可再生能源 数学 电气工程 人工智能 物理 统计 量子力学 控制(管理)
作者
Xinyu Wang,Hongyu Zhu,Xiaoyuan Luo,Shaoping Chang,Xinping Guan
出处
期刊:Electric Power Systems Research [Elsevier BV]
卷期号:232: 110385-110385 被引量:17
标识
DOI:10.1016/j.epsr.2024.110385
摘要

As the most promising future generation green ship, hybrid energy ship power systems (HESPS) have gradually attracted attention. However, the integration of new energy including wind energy and solar energy, raises key challenges in designing a suit optimal dispatch for HESPS under different navigation conditions. Based on this, an optimal dispatch strategy using the improved Non-dominated Sorting Genetic (NSGA-II) algorithm is proposed. Firstly, an integrated HESPS model consisting of diesel power generation system, energy storage system (ESS), wind power generation system (WPGS) and photovoltaic power generation system is established. Based on this, a multi-objective optimization strategy is proposed to reduce the cost and greenhouse gas emissions. Through the design of crossover operator and mutation operator, an improved NSGA-II is developed to find optimal solutions. Finally, three cases are presented to test the performance of proposed optimal dispatch strategy. Compared with traditional NSGA-II and multi-objective particle swarm optimization (MOPSO), the indicator of Hypervolume, Proportion of independent solutions, Generational Distance (GD) and Inverted Generational Distance can be improved at least 0.39%, 0.18%, 1.85% and 15.87%. At the same time, the corresponding cost and energy efficiency operational index (EEOI) of HESPS can be reduced by 13.17% and 17.53%.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
打打应助以泪洗面奶采纳,获得10
刚刚
搜集达人应助砍柴少年采纳,获得10
1秒前
1秒前
zzzyyyuuu完成签到 ,获得积分10
1秒前
1秒前
怕黑嘉懿发布了新的文献求助10
1秒前
慕青应助璇22采纳,获得10
2秒前
2秒前
myn1990发布了新的文献求助10
4秒前
4秒前
5秒前
7秒前
大观天下发布了新的文献求助10
7秒前
LLL发布了新的文献求助10
7秒前
随缘完成签到,获得积分10
8秒前
9秒前
怕黑嘉懿完成签到,获得积分20
10秒前
10秒前
茶荼发布了新的文献求助10
11秒前
11秒前
司空悒完成签到,获得积分10
13秒前
Ava应助Jing采纳,获得10
14秒前
14秒前
14秒前
15秒前
xd完成签到,获得积分10
15秒前
16秒前
somnus发布了新的文献求助10
16秒前
reirei应助过时的冰棍采纳,获得10
17秒前
茶荼完成签到,获得积分10
18秒前
18秒前
量子星尘发布了新的文献求助10
19秒前
琥斛完成签到 ,获得积分10
20秒前
雨晨完成签到,获得积分10
21秒前
22秒前
JK157完成签到,获得积分10
24秒前
Heartlark发布了新的文献求助10
24秒前
li完成签到,获得积分0
24秒前
25秒前
今后应助gsonix采纳,获得10
25秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Toward a Combinatorial Approach for the Prediction of IgG Half-Life and Clearance 500
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3969917
求助须知:如何正确求助?哪些是违规求助? 3514626
关于积分的说明 11175060
捐赠科研通 3249928
什么是DOI,文献DOI怎么找? 1795165
邀请新用户注册赠送积分活动 875617
科研通“疑难数据库(出版商)”最低求助积分说明 804891