| Pareto蚁群算法在多目标电网规划中的应用 |
| |
| 引用本文： | 符杨,孟令合,朱兰,曹家麟.Pareto蚁群算法在多目标电网规划中的应用[J].电力系统及其自动化学报,2009,21(4). |
| |
| 作者姓名： | 符杨 孟令合 朱兰 曹家麟 |
| |
| 作者单位： | 1. 上海电力学院电力工程与自动化学院,上海,200090
2. 上海大学机电工程与自动化学院,上海,200072 |
| |
| 基金项目： | 上海市重点攻关项目(071605123);;上海市教委科研创新项目(08ZZ92) |
| |
| 摘 要： | 目前国内外常把多目标问题转化为单目标问题来进行电网规划,故提出一种基于Pareto蚁群算法的多目标电网规划方法,在寻优过程中对各目标函数随机取权系数,使得各目标地位相同,解决了求取权系数的难题。直接求解多目标问题,使计算量大幅度降低,求出Pareto前沿,并以图的形式直观地显现出各目标之间的关系。最后通过18节点算例验证了该算法在多目标电网规划中的正确性。
|
| 关 键 词： | 多目标 电网规划 帕累托蚁群算法 经济性 可靠性 |
Pareto Ant Colony Algorithm for Multi-objective Power Network Planning |
| |
| FU Yang,MENG Ling-he,ZHU Lan,CAO Jia-lin.Pareto Ant Colony Algorithm for Multi-objective Power Network Planning[J].Proceedings of the CSU-EPSA,2009,21(4). |
| |
| Authors: | FU Yang MENG Ling-he ZHU Lan CAO Jia-lin |
| |
| Affiliation: | 1.School of Electrical Engineering and Automation;Shanghai University of Electric Power;Shanghai 200090;China;2.School of Mechanical & Electronic Engineering and Automation;Shanghai University;Shanghai 200072;China |
| |
| Abstract: | The Pareto ant colony algorithm(PACA) for multi-objective power network planning is presented according to the current situation of solving multi-objective power network planning by translating multi-objective problem to single-objective problem both at home and abroad.The weights are determined randomly for each objective,making all the objectives have the same status and avoiding the difficulty in determining weights.It can greatly reduce the quantity of calculation by solving the multiple objective optim... |
| |
| Keywords: | |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
