首页> 外文OA文献 >Optimized allocation of power quality monitors in transmission systems: a multiobjective approach
【2h】

Optimized allocation of power quality monitors in transmission systems: a multiobjective approach

机译:传输系统中电能质量监测器的优化分配:多目标方法

摘要

This paper proposes a methodology to solve the allocation problem of power quality monitors in transmissionudsystems. The problem is formulated to minimize the total cost of the monitoring system and toudmaximize the redundancy of measurements. The proposed approach explicitly deals with both objectivesudto find a set of efficient solutions in the objective space. The Multiobjective Evolutionary Algorithm withudTables (MEAT) is the optimization method investigated due to its recent relevant results in the literature.udThe methodology proposed considers the electrical system topology, and it was applied to differentudIEEE-test systems for validation. The results show that the MEAT finds a set of efficient solutions thatudare diversified and well-distributed along the Pareto Front, indicating adequate exploration of theudobjective space and the search space. With the Pareto Front, the utility can choose a plan with relevantudtrade-off involving the total cost and the redundancy of measurements. The results show that the ParetoudFront can be very useful when deciding the most proper monitoring plan according to available funds.
机译:本文提出了一种解决输变电系统电能质量监测仪分配问题的方法。制定该问题的目的是最小化监视系统的总成本,并最大化测量的冗余度。所提出的方法明确地处理了两个目标,以便在目标空间中找到一组有效的解决方案。带有udTables的多目标进化算法(MEAT)是研究的最优化方法,这是由于其最近在文献中的相关结果。结果表明,MEAT找到了一套有效的解决方案,这些解决方案沿Pareto Front敢于多样化且分布合理,表明对 uobjective空间和搜索空间的充分探索。使用Pareto Front,公用事业公司可以选择具有相关 udtrade权衡的计划,该计划涉及总成本和测量的冗余。结果表明,根据可用资金确定最适当的监控计划时,Pareto udFront可能非常有用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

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