GIS支持下基于NSGA-Ⅱ算法的火电厂多目标选址  

The multi-objective site selection for thermal power plant based on NSGA-Ⅱ and GIS

作　　者：包伟[1] 姚建刚[1] 李晴[1] 欧阳永熙[2] 

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082 [2]湖南省电力公司,湖南长沙410082

出　　处：《电力系统保护与控制》2008年第22期25-28,39,共5页Power System Protection and Control

摘　　要：结合以往的火电厂选址标准,引入环保投资因素作为环保标准的量化指标,建立火电厂的多目标选址模型。利用地理信息系统(GIS)提供的地理空间信息和分析功能将选址区域划分为若干连续区域单元,并提取各种选址所需数据。采用多目标遗传理论思想,通过NSGA-Ⅱ算法求解得到最终多目标的选址解策略空间,为火电厂的选址提供了实际可行的解决方案。在后续的选址决策中,专家可以通过适应性权重等方法进行偏好选择。算例分析表明研究结果具有较强的适用性,在多目标优化方面对火电厂的选址具有重要意义。Combining the past standards of site selection for thermal power plant, the integrated indexes system including the performances of economy, safety and environment is established. The new structure includes the economic investment by the environmental factors .And a model of multi-objective site selection for thermal power plant is also established. The total site region is divided into many successive units by using the visible function of geography information system （GIS） with removing the invalid unit and extracting data from the various modules. Based on the multi-objective genetic theory and NSGA-Ⅱ algorithm, this paper can get the strategy spaces of the final site selections, which provides the practical solutions for thermal power plant. In the follow-up decision of the site, experts can get the preference selection through weight adaptive methods. Examples show that the research results have good applicability and are beneficial to optimize the site selection of thermal power plants.

关 键 词：火电厂 选址 多目标优化 NSGA-Ⅱ 地理信息系统 电力市场 

分 类 号：TM621.1[电气工程—电力系统及自动化]