| 考虑环境污染的机组出力经济分配 |
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| 引用本文： | 俞俊霞,房鑫炎.考虑环境污染的机组出力经济分配[J].华东电力,2008,36(2):63-67. |
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| 作者姓名： | 俞俊霞 房鑫炎 |
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| 作者单位： | 上海交通大学,电气工程系,上海,200240 |
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| 摘 要： | 对传统意义下经济调度模型进行修正,同时考虑最小化燃料费用和污染排放量,提出了多目标环境经济调度模型,并应用多目标蚁群算法(MOACA)加以求解。指出MOACA将信息素交流和基于全局最优经验指导两种寻优方式相结合,以指导蚂蚁向更好解的方向前进,可以获得分布良好的Pareto最优解。利用文内算法对IEEE-30节点系统的机组出力进行环境经济调度,并与现有一些算法进行比较。
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| 关 键 词： | 发电机组 出力分配 环境经济调度 多目标蚁群算法 Pareto最优解 |
| 文章编号： | 1001-9529(2008)02-0063-05 |
| 修稿时间： | 2007年9月18日 |
Economic load dispatch of power plants considering pollution emission |
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| YU Jun-xia,FANG Xin-yan.Economic load dispatch of power plants considering pollution emission[J].East China Electric Power,2008,36(2):63-67. |
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| Authors: | YU Jun-xia FANG Xin-yan |
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| Abstract: | The traditional economic dispatch model is modified and the multi-objective economic emission dispatch model is proposed,aiming at obtaining the minimum fuel cost and pollution emission.The multi-objective ant colony algorithm(MOACA) was used to solve the improved model.The MOACA combines the searching strategy and the global best experience to guide ants to search better solutions.Well-distributed Pareto optimal solutions can be obtained in this way.Finally the practicability,superiority and validity of the proposed algorithm are proved by case study on environmental/economic load dispatch of IEEE-30 bus system. |
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| Keywords: | generating unit output distribution environmental/economic load dispatch multi-objective ant colony algorithm(MOACA) Pareto-optimal solution |
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