首页> 外文期刊>Journal of information and computational science >Substation Design Optimization Research Based on PSO and Value Index Method
【24h】

Substation Design Optimization Research Based on PSO and Value Index Method

机译:基于粒子群算法和价值指数法的变电站设计优化研究

获取原文
获取原文并翻译 | 示例

摘要

In this paper, an combined evaluation process to evaluate the value of substation was proposed. Firstly, a substation function index system was established with consideration of the function structure and features of substation. Secondly, the Analytic Hierarchy Process (AHP) and entropy method were separately used to calculate the subjective and objective weights of the function indexes. Thirdly, the sum of squares of deviations method and Particle Swarm Optimization (PSO) method were used to get the function indexes" combined weights. At last, the evaluation model was formed by function index compared with the cost index. The substation design data were used to test the evaluation model, the results showed it was feasible.
机译:本文提出了一种综合评估方法,对变电站的价值进行评估。首先,结合变电站的功能结构和特点,建立了变电站功能指标体系。其次,分别采用层次分析法和熵值法分别计算功能指标的主客观权重。第三,采用偏差平方和法和粒子群优化(PSO)法获得功能指标的综合权重,最后,通过功能指标与成本指标的比较,形成了评价模型。用于测试评估模型,结果表明是可行的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号