首页> 外文期刊>Electric power systems research >Comparative analysis of probabilistic and deterministic approach to tune the power system stabilizers using the directional bat algorithm to improve system small-signal stability
【24h】

Comparative analysis of probabilistic and deterministic approach to tune the power system stabilizers using the directional bat algorithm to improve system small-signal stability

机译:使用方向性bat算法改善电力系统小信号稳定性的概率和确定性方法对电力系统稳定器进行调整的比较分析

获取原文
获取原文并翻译 | 示例
           

摘要

The modern power system consists of a large mixture of renewable energy sources (RES), varying and flexible loads, and is also experiencing a situation where a significant number of conventional generators are being replaced by power electronics based sources. All of these factors may lead to a decrease in the small-signal stability (SSS) margin of the system which in turn can cause power system instability. Power system stabilizers (PSSs) are widely used to improve the low-frequency oscillatory stability of power systems. Currently, there are two popular methods to coordinate multiple PSSs to improve SSS: deterministic and probabilistic method. This paper first formulates the problem of coordinating multiple PSSs to improve SSS as a deterministic and a probabilistic optimization problem which is then solved using the new directional bat algorithm. A detailed comparison between the two design methods under different scenarios based on obtained results is carried out afterward. All of the analysis was carried out on a modified IEEE 68 bus system. The obtained results provide key insights as well as the advantages and limitations of the probabilistic and deterministic approach to optimize the PSS parameters.
机译:现代电力系统由可再生能源(RES),可变负载和灵活负载的大量混合物组成,并且还遇到一种情况,其中大量常规发电机已被基于电力电子的电源所取代。所有这些因素都可能导致系统的小信号稳定性(SSS)裕度降低,进而导致电力系统不稳定。电力系统稳定器(PSS)被广泛用于改善电力系统的低频振荡稳定性。当前,有两种流行的方法来协调多个PSS以改善SSS:确定性方法和概率性方法。本文首先将协调多个PSS来改善SSS的问题作为确定性和概率优化问题提出,然后使用新的定向bat算法解决。随后根据获得的结果对两种设计方法在不同情况下的详细比较。所有分析均在改良的IEEE 68总线系统上进行。获得的结果提供了关键的见解,以及优化PSS参数的概率和确定性方法的优缺点。

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