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| Analysis and Optimization Model of Multiple Energy System for Airship |
| Guo Fuzhu1, Liu Xiaoming1, 2, Zhao Hai3 |
1. School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870;
2. Shenyang University of Technology (Yingkou) Institute of Engineering and Technology, Yingkou, Liaoning 115200;
3. School of Information Science and Engineering, Northeastern University, Shenyang 110819 |
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Abstract To solve problems and deficiencies of airship energy, these are using conventional fossil fuels which cause environment pollution, carrying numerous fuels which effect payload ratio, applying single solar whose energy is dispersive and which is susceptible to influence of time and low utilization rate and taking along sufficient storage device. Aiming at different height ranges, diverse time in the air, performing various tasks, solutions of multiple energy system for their needs are proposed. At the same time, energy balance equation is obtained, optimization models are established by efficacy coefficient methodevaluation function law and relationships of best optimization are acquired between costs and energy or efficiency. So the number of micro-wind turbines, the area of efficient flexible membrane solar cell and carrying capacity of fossil fuels are reasonably deployed, which generate the most power, highest efficiency and lowest cost. These that enable energy system to achieve optimal state and ensure safe and reliable operation of airship have a significance. The paper also gives the evaluation mechanism of efficacy coefficient method to verify the efficacy of optimization models.
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Published: 13 January 2016
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| Cite this article: |
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Guo Fuzhu,Liu Xiaoming,Zhao Hai. Analysis and Optimization Model of Multiple Energy System for Airship[J]. Electrical Engineering, 2016, 17(1): 55-61.
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| URL: |
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http://dqjs.cesmedia.cn/EN/Y2016/V17/I1/55
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[1] 甘晓华, 郭颖. 飞艇技术概论[M]. 北京: 国防工业出版社, 2005.
[2] 刘山凤, 龙江, 方韬. 风光互补新能源成新趋势[J]. 电气技术, 2008(12): 69-71.
[3] 潘再平. 一种利用高空风能发电的新方法[J]. 太阳能学报, 1999, 20(1): 34-35.
[4] 吴佳梁, 曾赣生, 余铁辉, 等. 风光互补与储能系统[M]. 北京: 化学工业出版社, 2012: 9-17.
[5] 陈艳, 周林, 刘强, 等. 基于遗传编码的光伏MPPT模式搜索跟踪控制[J]. 沈阳工业大学学报, 2011, 33(3): 331-337.
[6] 赵红玲, 郭双庆. 新型逆向双转子风力发电机[J]. 可再生能源, 2005, 121(3): 36-38.
[7] 郑威, 宋琦, 李勇, 等. 平流层飞艇太阳电池阵发电功率计算及分析[J]. 宇航学报, 2010, 31(4): 1224- 1230.
[8] 赵文利, 陈松, 杨学武. HAA高空飞艇能源与动力系统探讨[C]//2011年中国浮空器大会论文集, 2011：241-250.
[9] 张凤, 阎秀恪, 兰宏光, 等. 基于滑模控制的风机最大风能追踪[J]. 沈阳工业大学学报, 2014, 36(6): 625-630.
[10] 江京. 高空飞艇系统总体设计优化初探[J]. 中国电子科学研究院学报, 2012, 7(4): 356-361.
[11] 孟昭翰. 风能的计算方法[J]. 太阳能, 1984, 27(3):
2-3.
[12] 李莎. 风光互补独立发电系统多目标优化设计[D]. 北京: 华北电力大学, 2012.
[13] 汪振双, 赵宁. 基于功效函数法的我国房地产企业竞争力评价[J]. 工程管理学报, 2014, 28(4): 143-147. |
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2016, Vol. 17 
