Suppr超能文献

基于混合改进差分进化-模式搜索算法的多输入单输出 SSSC 阻尼控制器设计。

Multi-Input Single Output SSSC based damping controller design by a hybrid Improved Differential Evolution-Pattern Search approach.

机构信息

Department of Electrical and Electronics Engineering, Veer Surendra Sai University of Technology, Burla, Odisha 768018, India.

出版信息

ISA Trans. 2015 Sep;58:173-85. doi: 10.1016/j.isatra.2015.03.012. Epub 2015 Apr 8.

Abstract

In this paper, a hybrid Improved Differential Evolution and Pattern Search (hIDEPS) approach is proposed for the design of a PI-Type Multi-Input Single Output (MISO) Static Synchronous Series Compensator (SSSC) based damping controller. The improvement in Differential Evolution (DE) algorithm is introduced by a simple but effective scheme of changing two of its most important control parameters i.e. step size and crossover probability with an objective of achieving improved performance. Pattern Search (PS) is subsequently employed to fine tune the best solution provided by modified DE algorithm. The superiority of a proposed hIDEPS technique over DE and improved DE has also been demonstrated. At the outset, this concept is applied to a SSSC connected in a Single Machine Infinite Bus (SMIB) power system and then extended to a multi-machine power system. To show the effectiveness and robustness of the proposed design approach, simulation results are presented and compared with DE and Particle Swarm Optimization (PSO) optimized Single Input Single Output (SISO) SSSC based damping controllers. It is observed that the proposed approach yield superior damping performance compared to some approaches available in the literature.

摘要

本文提出了一种混合改进差分进化和模式搜索(hIDEPS)方法,用于设计基于 PI 型多输入单输出(MISO)的静止同步串联补偿器(SSSC)的阻尼控制器。通过使用一种简单但有效的方案来改变差分进化(DE)算法的两个最重要的控制参数,即步长和交叉概率,从而提高其性能。随后,采用模式搜索(PS)来微调改进 DE 算法提供的最佳解决方案。还证明了所提出的 hIDEPS 技术优于 DE 和改进的 DE。首先,将该概念应用于连接在单机无穷大母线(SMIB)电力系统中的 SSSC,然后将其扩展到多机电力系统。为了展示所提出设计方法的有效性和鲁棒性,给出了仿真结果,并与 DE 和粒子群优化(PSO)优化的基于单输入单输出(SISO)SSSC 的阻尼控制器进行了比较。结果表明,与文献中的一些方法相比,所提出的方法具有更好的阻尼性能。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验