...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric power systems research >Pareto optimality-based multi-objective transmission planning considering transmission congestion
【24h】

Pareto optimality-based multi-objective transmission planning considering transmission congestion

机译：考虑传输拥塞的基于帕累托最优的多目标传输规划

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In the deregulated environment, transmission congestion is one major problem that needs to be handled in power system operation and network expansion planning. This paper aims to enhance the transmission system capability and have the congestion alleviated using the multi-objective transmission expansion planning (MOTEP) approach. A system congestion index called the congestion surplus is presented to measure the congestion degree of the transmission system. The proposed MOTEP approach optimizes three objectives simultaneously, namely the congestion surplus, investment cost and power outage cost. An improved strength Pareto evolutionary algorithm (SPEA) is adopted to solve the proposed model. A ranking method based on Euclidean distance is presented for decision-making in the Pareto-optimal set. The effectiveness of both the improved SPEA and the proposed multi-objective planning approach has been tested and proven on the 18-bus system and the 77-bus system, respectively.
机译：在放松管制的环境中，传输拥塞是电力系统运行和网络扩展规划中需要处理的一个主要问题。本文旨在使用多目标传输扩展规划（MOTEP）方法来增强传输系统的功能并缓解拥塞。提出了一种系统拥塞指数，称为拥塞剩余，以测量传输系统的拥塞程度。拟议的MOTEP方法同时优化了三个目标，即拥堵盈余，投资成本和停电成本。采用改进的强度帕累托进化算法（SPEA）求解该模型。提出了一种基于欧氏距离的排序方法，用于帕累托最优集合中的决策。改进的SPEA和提议的多目标规划方法的有效性分别在18总线系统和77总线系统上进行了测试和验证。

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