| Energy transmission modes based on Tabu search and particle swarm hybrid optimization algorithm |
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| 作者姓名： | 李翔 崔吉峰 乞建勋 杨尚东 |
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| 作者单位： | School of Business Administration North China Electric University，School of Business Administration，North China Electric University，School of Business Administration，North China Electric University，School of Business Administration，North China Electric University，Beijing 102206China，Beijing 102206China State Grid Operation Company Limited，Beijing 100005，China，Beijing 102206China，Beijing 102206China |
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| 基金项目： | 高等学校博士学科点专项科研项目 |
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| 摘 要： | In China, economic centers are far from energy storage bases, so it is significant to select a proper energy transferring mode to improve the efficiency of energy usage. To solve this problem, an optimal allocation model based on energy transfer mode was proposed after objective function for optimizing energy using efficiency was established, and then, a new Tabu search and particle swarm hybrid optimizing algorithm was proposed to find solutions. While actual data of energy demand and distribution in China were selected for analysis, the economic critical value in comparison between the long-distance coal transfer and electric power transmission was gained. Based on the above discussion, some proposals were put forward for optimal allocation of energy transfer modes in China. By comparing other three traditional methods that are based on regional price differences, freight rates and annual cost with the proposed method, the result indicates that the economic efficiency of the energy transfer can be enhanced by 3.14%, 5.78% and 6.01%, respectively.
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| 关 键 词： | 超高电压 经济效率 粒子群 最佳化 |
| 收稿时间： | 12 October 2006 |
| 修稿时间： | 2006-10-12 |
Energy transmission modes based on Tabu search and particle swarm hybrid optimization algorithm |
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| Li Xiang , Cui Ji-feng , Qi Jian-xun and Yang Shang-dong.Energy transmission modes based on Tabu search and particle swarm hybrid optimization algorithm[J].Journal of Central South University of Technology,2007,14(1):144-148. |
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| Authors: | Li Xiang Cui Ji-feng Qi Jian-xun and Yang Shang-dong |
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| Affiliation: | 1. School of Business Administration, North China Electric University, Beijing 102206, China; 2. State Grid Operation Company Limited, Beijing 100005, China |
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| Abstract: | In China, economic centers are far from energy storage bases, so it is significant to select a proper energy transferring mode to improve the efficiency of energy usage. To solve this problem, an optimal allocation model based on energy transfer mode was proposed after objective function for optimizing energy using efficiency was established, and then, a new Tabu search and particle swarm hybrid optimizing algorithm was proposed to find solutions. While actual data of energy demand and distribution in China were selected for analysis, the economic critical value in comparison between the long-distance coal transfer and electric power transmission was gained. Based on the above discussion, some proposals were put forward for optimal allocation of energy transfer modes in China. By comparing other three traditional methods that are based on regional price differences, freight rates and annual cost with the proposed method, the result indicates that the economic efficiency of the energy transfer can be enhanced by 3.14%, 5.78% and 6.01%, respectively. |
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| Keywords: | ultra high voltage(UHV) economical efficiency Tabu search particle swarm optimization |
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