| 基于GSA-IPM算法的船舶电力系统无功优化 |
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| 引用本文： | 顾彬腾,宋超,潘志远.基于GSA-IPM算法的船舶电力系统无功优化[J].船舶工程,2017,39(5):45-47. |
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| 作者姓名： | 顾彬腾 宋超 潘志远 |
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| 作者单位： | 江苏省船舶工程技术研究开发中心,江苏南通226010;大连海事大学轮机工程学院,辽宁大连116000;大连中远川崎船舶工程有限公司,辽宁大连,116000 |
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| 基金项目： | 江苏省交通运输科技项目：“中国制造2025”背景下江苏船舶与海洋工程装备产业转型升级路径研究（2016T22-2（2））；江苏省职业教育教学改革研究课题：工匠精神引领下现代学徒制的探索与实践（ZYB51）；南通教育改革和发展战略性与政策性研究课题：基于铸就工匠精神的船舶类专业现代学徒制人才培养模式研究（2016G-10）；江苏省高等学校大学生创新创业训练计划项目：创新节能的伞具速干处理装置的设计与研究（201612703005Y）。 |
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| 摘 要： | 提出GSA-IPM(万有引力-内点)算法求解船舶电力系统无功优化问题,以降低船舶电力系统的有功损耗,提高电压质量,改善安全经济运行水平。将算法应用于某实际船舶电力系统进行仿真测试,结果与万有引力搜索算法(GSA)、遗传算法(GA)及粒子群算法(PSO)作比较,证明了算法能够使有功网损更低,电压质量更佳,从而验证了方法的有效性。
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| 关 键 词： | 船舶电力系统 无功优化 GSA-IPM算法 |
| 收稿时间： | 2017/4/17 0:00:00 |
| 修稿时间： | 2017/6/7 0:00:00 |
GSA-IPM Algorithm of Reactive Power Optimization for Ship Power System |
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| GU Binteng,PAN Zhiyuan and TANG Zhuozhen.GSA-IPM Algorithm of Reactive Power Optimization for Ship Power System[J].Ship Engineering,2017,39(5):45-47. |
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| Authors: | GU Binteng PAN Zhiyuan and TANG Zhuozhen |
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| Institution: | Jiangsu Ship Engineering Technology R D Center,Jiangsu Nantong,Dalian COSCO KHI Ship Engineering Co,Ltd,Liaoning Dalian,Nantong Shipping College,Jiangsu Nantong |
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| Abstract: | GSA-IPM (Gravitational search algorithm (GSA)-Interior point method (IPM)) algorithm is proposed to solve the reactive power optimization problem of ship power system, so as to reduce the active power loss, improve the voltage quality, and improve the safe and economic operation level of the ship power system. The algorithm is applied to a practical ship power system for simulation test, comparing the results with the GSA, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). It is proved that the algorithm can make the active power loss lower, and the voltage quality better, thus verifies the effectiveness of the method. |
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| Keywords: | ship engineering ship power system reactive power optimization (RPO) GSA-IPM Algorithm |
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